statistics dissertation topics

Recent Dissertation Topics

Marty Wells and a student look over papers

Dan Kowal - "Bayesian Methods for Functional and Time Series Data"

Dissertation Advisor: David Matteson and David Ruppert

Initial job placement: assistant professor, Department of Statistics, Rice University

Keegan Kang - "Data Dependent Random Projections"

Dissertation Advisor: Giles Hooker

David Sinclair - "Model Selection Results for High Dimensional Graphical Models on Binary and Count Data with Applications to FMRI and Genomics"

Liu, yanning – "statistical issues in the design and analysis of clinical trials".

Dissertation Advisor: Bruce Turnbull

Nicholson, William Bertil – "Tools for Modeling Sparse Vector Autoregressions"

Dissertation Advisor: David Matteson

Tupper, Laura Lindley – "Topics in Classification and Clustering of High-Dimensional Data"

Chetelat, didier – "high-dimensional inference by unbiased risk estimation".

Dissertation Advisor: Martin Wells

Initial Job Placement: Assistant Professor Universite de Montreal, Montreal, Canada

Gaynanova, Irina – "Estimation Of Sparse Low-Dimensional Linear Projections"

Dissertation Advisor: James Booth

Initial Job Placement: Assistant Professor, Texas A&M, College Station, TX

Mentch, Lucas – "Ensemble Trees and CLTS: Statistical Inference in Machine Learning"

Initial Job Placement: Assistant Professor, University of Pittsburgh, Pittsburgh, PA

Risk, Ben – "Topics in Independent Component Analysis, Likelihood Component Analysis, and Spatiotemporal Mixed Modeling"

Dissertation Advisors: David Matteson and David Ruppert

Initial Job Placement: Postdoctoral Fellow, University of North Carolina, Chapel Hill, NC

Zhao, Yue – "Contributions to the Statistical Inference for the Semiparametric Elliptical Copula Model"

Disseration Advisor: Marten Wegkamp

Initial Job Placement: Postoctoral Fellow, McGill University, Montreal, Canada

Chen, Maximillian Gene – "Dimension Reduction and Inferential Procedures for Images"

Dissertation Advisor: Martin Wells

Earls, Cecelia – Bayesian hierarchical Gaussian process models for functional data analysis

Dissertation Advisor: Giles Hooker

Initial Job Placement: Lecturer, Cornell University, Ithaca, NY

Li, James Yi-Wei – "Tensor (Multidimensional Array) Decomposition, Regression, and Software for Statistics and Machine Learning"

Initial Job Placement: Research Scientist, Yahoo Labs

Schneider, Matthew John – "Three Papers on Time Series Forecasting and Data Privacy"

Dissertation Advisor: John Abowd

Initial Job Placement: Assistant Professor, Northwestern University, Evanston, IL

Thorbergsson, Leifur – "Experimental design for partially observed Markov decision processes"

Initial Job Placement: Data Scientist, Memorial Sloan Kettering Cancer Center, New York, NY

Wan, Muting – "Model-Based Classification with Applications to High-Dimensional Data in Bioinformatics"

Initial Job Placement: Senior Associate, 1010 Data, New York, NY

Johnson, Lynn Marie – "Topics in Linear Models: Methods for Clustered, Censored Data and Two-Stage Sampling Designs"

Dissertation Advisor: Robert Strawderman

Initial Job Placement: Statistical Consultant, Cornell, Statistical Consulting Unit, Ithaca, NY

Tecuapetla Gomez, Inder Rafael – "Asymptotic Inference for Locally Stationary Processes"

Dissertation Advisor: Michael Nussbaum

Initial Job Placement: Postdoctoral Fellow, Georg-August-Universitat Gottigen, Gottigen, Germany.

Bar, Haim – "Parallel Testing, and Variable Selection -- a Mixture-Model Approach with Applications in Biostatistics"

Dissertation Advisor: James Booth

Initial Job Placement: Postdoc, Department of Medicine, Weill Medical Center, New York, NY

Cunningham, Caitlin – "Markov Methods for Identifying ChIP-seq Peaks"

Initial Job Placement: Assistant Professor, Le Moyne College, Syracuse, NY

Ji, Pengsheng – "Selected Topics in Nonparametric Testing and Variable Selection for High Dimensional Data"

Dissertation Advisor: Michael Nussbaum

Initial Job Placement: Assistant Professor, University of Georgia, Athens, GA

Morris, Darcy Steeg – "Methods for Multivariate Longitudinal Count and Duration Models with Applications in Economics"

Dissertation Advisor: Francesca Molinari

Initial Job Placement: Research Mathematical Statistician, Center for Statistical Research and Methodology, U.S. Census Bureau, Washington DC

Narayanan, Rajendran – "Shrinkage Estimation for Penalised Regression, Loss Estimation and Topics on Largest Eigenvalue Distributions"

Initial Job Placement: Visiting Scientist, Indian Statistical Institute, Kolkata, India

Xiao, Luo – "Topics in Bivariate Spline Smoothing"

Dissertation Advisor: David Ruppert

Initial Job Placement: Postdoc, Johns Hopkins University, Baltimore, MD

Zeber, David – "Extremal Properties of Markov Chains and the Conditional Extreme Value Model"

Dissertation Advisor: Sidney Resnick

Initial Job Placement: Data Analyst, Mozilla, San Francisco, CA

Clement, David – "Estimating equation methods for longitudinal and survival data"

Dissertation Advisor: Robert Strawderman

Initial Job Placement: Quantitative Analyst, Smartodds, London UK

Eilertson, Kirsten – "Estimation and inference of random effect models with applications to population genetics and proteomics"

Dissertation Advisor: Carlos Bustamante

Initial Job Placement: Biostatistician, The J. David Gladstone Institutes, San Francisco CA

Grabchak, Michael – "Tempered stable distributions: properties and extensions"

Dissertation Advisor: Gennady Samorodnitsky

Initial Job Placement: Assistant Professor, UNC Charlotte, Charlotte NC

Li, Yingxing – "Aspects of penalized splines"

Initial Job Placement: Assistant Professor, The Wang Yanan Institute for Studies in Economics, Xiamen University

Lopez Oliveros, Luis – "Modeling end-user behavior in data networks"

Dissertation Advisor: Sidney Resnick

Initial Job Placement: Consultant, Murex North America, New York NY

Ma, Xin – "Statistical Methods for Genome Variant Calling and Population Genetic Inference from Next-Generation Sequencing Data"

Initial Job Placement: Postdoc, Stanford University, Stanford CA

Kormaksson, Matthias – "Dynamic path analysis and model based clustering of microarray data"

Dissertation Advisor: James Booth

Initial Job Placement: Postdoc, Department of Public Health, Weill Cornell Medical College, New York NY

Schifano, Elizabeth – "Topics in penalized estimation"

Initial Job Placement: Postdoc, Department of Biostatistics, Harvard University, Boston MA

Hanlon, Bret – "High-dimensional data analysis"

Dissertation Advisor: Anand Vidyashankar

Shaby, Benjamin – "Tools for hard bayesian computations"

Initial Job Placement: Postdoc, SAMSI, Durham NC

Zipunnikov, Vadim – "Topics on generalized linear mixed models"

Initial Job Placement: Postdoc, Department of Biostatistics, Johns Hopkins University, Baltimore MD

Barger, Kathryn Jo-Anne – "Objective bayesian estimation for the number of classes in a population using Jeffreys and reference priors"

Dissertation Advisor: John Bunge

Initial Job Placement: Pfizer Incorporated

Chan, Serena Suewei – "Robust and efficient inference for linear mixed models using skew-normal distributions"

Initial Job Placement: Statistician, Takeda Pharmaceuticles, Deerfield IL

Lin, Haizhi – "Distressed debt prices and recovery rate estimation"

Dissertation Advisor: Martin Wells

Initial Job Placement: Associate, Fixed Income Department, Credit Suisse Securities (USA), New York, NY

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100 Inspiring Statistics Research Topics

Definition and importance of statistics.

The definition of statistics is always different, depending on your subject and methodology. In simple terms, it is a defined study, analysis, and manipulation of data that must be reviewed. The complex part of statistical analysis is drawing conclusions or coming up with reports. Since it all comes down to data interpretation, one must think about choosing good statistics research topics. Start by addressing various scientific, industrial, or social problems. It will make it easier to narrow things down and find the most efficient solution, be it a manual statistical interpretation or software automation. If things do not work for you, remember that you can pay for research paper and receive additional help with calculation or methodology choice. It will also help you to quote every statistical bit of data correctly if it has been taken from an outside source!

How To Write Statistics Research Topics?

The trick here is to know what methodology will be used to collect and interpret statistical data. Even if you have not chosen your statistics project topic, think about it before going any further. It will help you learn about what kind of data will be researched as the sample will be picked correctly. Your basic outline for choosing the right topic should be this way:

Always provide sources for statistical data that has been referred to if it is not your first-hand obtained data!

100 Research Topics For Statistics

- good statistics research topics .

It must be noted that statistics are required by numerous disciplines these days, which is why choosing something good for your research can deal with anything. Starting with social media analysis to an estimation of students that have passed the exam successfully, all of it can relate to good stat research topics.

- Statistics Topics For Research Project

When you have to choose a specific topic that will reflect statistical methods, start by narrowing things down or determining what kind of analysis will be used. You can think about the role that statistical analysis plays in a certain field. See some examples below:

- Ph.D. Research Topics In Statistics

As a rule, dealing with Ph.D. is supposed to be more challenging, yet statistical methods still remain the same. It is the subject and the data sample set that go through the changes. For example, you can choose electrical engineering for your statistical method to match the Ph.D. academic level.

- Easy Statistics Research Topics

If you want to find an easy statistics research area, think about the real-life application of statistics. It will help you choose easier research topics for statistics. Just make sure to provide explanations of how statistical research helps, talk about why it happens, and how exactly.

- Survey Methods Statistics Research Topics

Not a single statistical method may go without some sort of survey method. It is one of the reasons why we have included various statistics research paper topics that are based on surveys and their practical examples.

- Business Statistics Research Topics

When you need something statistical for your business, think about estimation, prognosis, and analysis. In the majority of cases, you shall deal with economics and finances to provide the pros and cons of certain methodologies. See some statistical research topic examples that relate to business matters:

- Applied Statistics Research Topics

If your college professor asked you to deal with applied statistics for your next assignment, have no worries because applied statistics are related to practice. For example, you can provide a certain case or turn to an actual event where statistical practice can or will be used. Once you choose a case study, narrow things down and see our examples:

- Sports Statistics Research Topics

Regardless of whether you are making bets on sports or want to find out who might win the game by turning to scientific methods, sports statistics is what you will need. See some good statistics research topics about sports to get inspired:

- Possible Research Topics For Statistics

Here are the possible subjects where statistics can be researched. If you are not good with formulas and mathematical calculations, these inspiring statistical research topics will help you:

- Psychology Research Topics for Statistics

Psychology, Sociology, Healthcare, and Education are among those topics where statistical analysis is essential. Since psychology encompasses philosophy and the constant variables, depending on the case, these statistical psychology topics will be helpful.

Fitting Your Statistical Research Correctly

One of the most common challenges with statistics is knowing where to fit related data without making it look awkward. If you are in such a situation, our friendly experts are here to provide assistance. As they write research papers for money , they provide you with custom-tailored ideas and will help you avoid plagiarism as you refer to existing case studies. If you want to end up with a great statistical research project, asking for additional guidance is only natural! Take your time to research our list of inspiring statistical topics for research paper and get help when necessary!

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Best Statistics Research Topics & Ideas For 2021-22

Date published October 7 2021 by Jacob Miller

Statistics is a demanding subject that deals with the collection, analysis, interpretation, evaluation, and management of numeric data. The topic selection of the statistics dissertation can involve the subfields of statistics, i.e. Probability Theory, Mathematical Statistics, Design of Experiments, Sampling, Classification, and Time Series.

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Complications in statistics researches:

This subject is much complicated, further, the implication of the proportions in large quantities under complex theories contribute to the difficulties concerning the subject. That’s why it is hard to find considerable statistics dissertation topics. Moreover, the multiple dimensions of the subject make it more problematic to come up with a focused and comprehensive topic.

Why Choosing a Statistics Dissertation Topic is Hard for Students?

While selecting a topic for a statistics dissertation, you must consider the fundamental idea of statistics, i.e. variation and uncertainty. Certain statistical frameworks and methods are applied to get the results.

The topic of the statistics dissertation should be so close to the subject that you will be able the statistical method in the dissertation and presentation of findings.

There are several reasons which together make it a difficult task for the students to select a worthwhile topic for their statistics dissertation.

Shortage of Ideas

Students usually lack in generating potential ideas concerning different areas and aspects of the subject. That’s why they face difficulty in listing out the suitable statistics topics for the dissertation.

Wider Scope

Statistics has a wide scope. It holds a relation with scientific, industrial, and social problems. So, a dissertation topic for this subject can never stand out alone. Due to this reason, students find it difficult to determine their direction and fail to select a potential topic.

Irrelevant or diversified knowledge

Somehow, if students manage to come up with some understandable topics for their dissertation, the uncertainty of the context or the background leads them towards the confusion. They are unable to find a purpose and the background on which they can base their research.

While this all seems a pretty tough task, so then you may take inspiration from our free dissertation topics, and even better you can get the professional on those each topic.

How Do We Help You Select a Statistics Dissertation Topic?

We have skilled and professional subject experts, who bring the best ideas for your statistics dissertation selection. They are well aware of how to meet your subject requirements and professors’ expectations. Through their expertise, they help you select the most significant topics for your dissertation.

By selecting one of the strong statistics research topics we propose, you may contribute to the subject through your intellectual capabilities and unique ideas. While preparing a list of topic suggestions for you, we focus on the following points.

What do our experts say about the Statistics Topic Selection?

Our statistics dissertation experts are well-equipped with dense knowledge in the subject. They know which topic is worthy to be chosen for your dissertation. According to our experts, your topic must involve data collection, data analysis, and data synthesis.

You also must have to go through with several previous dissertations and research papers regarding the subject so that you can come up with a topic having fine scope, context, relevancy, and accuracy. Further, it should be concise and manageable so that you can complete a dissertation on it within the deadline.

You can avoid all these complexities by hiring our statistics dissertation topic selection services. Our experts have produced hundreds of successful works for the satisfaction of the customers. With vast experience in the world of academics and command of statistics dissertations, they have prepared the list of most suitable statistics dissertation topics.

Bayesian Methods for Functional and Time Series

Kernel regression using the four fourier transform, assessing and accounting for correlation in rna-seq data analysis., a guide to doing statistics in second language research using spss, prediction interval methods for reliability data, relevance of tests of significances uses and limitations., interaction forward selection in ultra-high-dimension functional linear models..

To know the details of the above-mentioned topics and have an idea about their aims and objectives, you can consult with our team. You are welcomed 24/7 to get our consultancy. Further, you can have more potential topics for your statistics dissertation topics by hiring our services.

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List of Best Statistics Research Topics with Objectives

Objectives:

To explore the methods of kernel regression

To demonstrate the method of speeding up the computation of kernel.

To analyse the FFT to improve the computation of kernel.

Difficulties in Learning Basic Concepts in Probability and Statistics: Implications of Research.

To explore the importance of statistics and probability.

To examine the different methods of statistics and probability used in education system.

To provide the need for collaborative and cross-disciplinary in researches.

To explore the concepts behind the usage of statistics in different domains.

To examine the concept of statistics in Second Language.

To study and implement the SPSS software in statistics.

To study the importance of Prediction in statistics.

To analyse the statistical Prediction methods in statistics theory.

To examine the different methods of Prediction interval under the parametric framework.

To study the importance of statistical tools and significance test both in parametric and nonparametric test.

To examine the statistical tools significance in decision making.

To evaluate the statistical significance test in information retrieval.

To study the statistical methods for the variable selection in ultra-high dimensional functional linear models.

To propose two forward selection procedures on the basis of coefficients approximation.

To demonstrate the application of the proposed methodologies.

Bayes Methods for Biclustering and Vector Data with Binary Coordinates.

To explore the different method of Bayes and its applications.

To examine the Bayes method for the purpose of biclustering and inference for mixture models.

To represent the performance of model through the simulation and applications to real datasets.

To study the concept behind the RNA- sequence data analysis and its procedure.

To examine the papers on the analysis of RNA- sequence data analysis.

To perform a simulation and validate the proposed methods on the basis of results.

An Exploration of Techniques Used in Data Analytics to Produce Analysed Data in Graphical Format.

To explore the techniques used in data analytics used for various purposes in order to produce visual charts.

To demonstrate the use of python language as a main feature in Data analytics.

View different varieties of dissertation topics and samples on multiple subjects for every educational level

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Digital Commons @ USF > College of Arts and Sciences > Mathematics and Statistics > Theses and Dissertations

Mathematics and Statistics Theses and Dissertations

Theses/dissertations from 2022 2022.

New Developments in Statistical Optimal Designs for Physical and Computer Experiments , Damola M. Akinlana

Advances and Applications of Optimal Polynomial Approximants , Raymond Centner

Data-Driven Analytical Predictive Modeling for Pancreatic Cancer, Financial & Social Systems , Aditya Chakraborty

On Simultaneous Similarity of d-tuples of Commuting Square Matrices , Corey Connelly

Symbolic Computation of Lump Solutions to a Combined (2+1)-dimensional Nonlinear Evolution Equation , Jingwei He

Boundary behavior of analytic functions and Approximation Theory , Spyros Pasias

Stability Analysis of Delay-Driven Coupled Cantilevers Using the Lambert W-Function , Daniel Siebel-Cortopassi

A Functional Optimization Approach to Stochastic Process Sampling , Ryan Matthew Thurman

Theses/Dissertations from 2021 2021

Riemann-Hilbert Problems for Nonlocal Reverse-Time Nonlinear Second-order and Fourth-order AKNS Systems of Multiple Components and Exact Soliton Solutions , Alle Adjiri

Zeros of Harmonic Polynomials and Related Applications , Azizah Alrajhi

Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting , Hsiao-Chuan Chou

Uncertainty Quantification in Deep and Statistical Learning with applications in Bio-Medical Image Analysis , K. Ruwani M. Fernando

Data-Driven Analytical Modeling of Multiple Myeloma Cancer, U.S. Crop Production and Monitoring Process , Lohuwa Mamudu

Long-time Asymptotics for mKdV Type Reduced Equations of the AKNS Hierarchy in Weighted L 2 Sobolev Spaces , Fudong Wang

Online and Adjusted Human Activities Recognition with Statistical Learning , Yanjia Zhang

Theses/Dissertations from 2020 2020

Bayesian Reliability Analysis of The Power Law Process and Statistical Modeling of Computer and Network Vulnerabilities with Cybersecurity Application , Freeh N. Alenezi

Discrete Models and Algorithms for Analyzing DNA Rearrangements , Jasper Braun

Bayesian Reliability Analysis for Optical Media Using Accelerated Degradation Test Data , Kun Bu

On the p(x)-Laplace equation in Carnot groups , Robert D. Freeman

Clustering methods for gene expression data of Oxytricha trifallax , Kyle Houfek

Gradient Boosting for Survival Analysis with Applications in Oncology , Nam Phuong Nguyen

Global and Stochastic Dynamics of Diffusive Hindmarsh-Rose Equations in Neurodynamics , Chi Phan

Restricted Isometric Projections for Differentiable Manifolds and Applications , Vasile Pop

On Some Problems on Polynomial Interpolation in Several Variables , Brian Jon Tuesink

Numerical Study of Gap Distributions in Determinantal Point Process on Low Dimensional Spheres: L -Ensemble of O ( n ) Model Type for n = 2 and n = 3 , Xiankui Yang

Non-Associative Algebraic Structures in Knot Theory , Emanuele Zappala

Theses/Dissertations from 2019 2019

Field Quantization for Radiative Decay of Plasmons in Finite and Infinite Geometries , Maryam Bagherian

Probabilistic Modeling of Democracy, Corruption, Hemophilia A and Prediabetes Data , A. K. M. Raquibul Bashar

Generalized Derivations of Ternary Lie Algebras and n-BiHom-Lie Algebras , Amine Ben Abdeljelil

Fractional Random Weighted Bootstrapping for Classiﬁcation on Imbalanced Data with Ensemble Decision Tree Methods , Sean Charles Carter

Hierarchical Self-Assembly and Substitution Rules , Daniel Alejandro Cruz

Statistical Learning of Biomedical Non-Stationary Signals and Quality of Life Modeling , Mahdi Goudarzi

Probabilistic and Statistical Prediction Models for Alzheimer’s Disease and Statistical Analysis of Global Warming , Maryam Ibrahim Habadi

Essays on Time Series and Machine Learning Techniques for Risk Management , Michael Kotarinos

The Systems of Post and Post Algebras: A Demonstration of an Obvious Fact , Daviel Leyva

Reconstruction of Radar Images by Using Spherical Mean and Regular Radon Transforms , Ozan Pirbudak

Analyses of Unorthodox Overlapping Gene Segments in Oxytricha Trifallax , Shannon Stich

An Optimal Medium-Strength Regularity Algorithm for 3-uniform Hypergraphs , John Theado

Power Graphs of Quasigroups , DayVon L. Walker

Theses/Dissertations from 2018 2018

Groups Generated by Automata Arising from Transformations of the Boundaries of Rooted Trees , Elsayed Ahmed

Non-equilibrium Phase Transitions in Interacting Diffusions , Wael Al-Sawai

A Hybrid Dynamic Modeling of Time-to-event Processes and Applications , Emmanuel A. Appiah

Lump Solutions and Riemann-Hilbert Approach to Soliton Equations , Sumayah A. Batwa

Developing a Model to Predict Prevalence of Compulsive Behavior in Individuals with OCD , Lindsay D. Fields

Generalizations of Quandles and their cohomologies , Matthew J. Green

Hamiltonian structures and Riemann-Hilbert problems of integrable systems , Xiang Gu

Optimal Latin Hypercube Designs for Computer Experiments Based on Multiple Objectives , Ruizhe Hou

Human Activity Recognition Based on Transfer Learning , Jinyong Pang

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods , Minh H. Pham

Statistical Analysis and Modeling of Cyber Security and Health Sciences , Nawa Raj Pokhrel

Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems , Zheni Svetoslavova Stefanova

Orthogonal Polynomials With Respect to the Measure Supported Over the Whole Complex Plane , Meng Yang

Theses/Dissertations from 2017 2017

Modeling in Finance and Insurance With Levy-It'o Driven Dynamic Processes under Semi Markov-type Switching Regimes and Time Domains , Patrick Armand Assonken Tonfack

Prevalence of Typical Images in High School Geometry Textbooks , Megan N. Cannon

On Extending Hansel's Theorem to Hypergraphs , Gregory Sutton Churchill

Contributions to Quandle Theory: A Study of f-Quandles, Extensions, and Cohomology , Indu Rasika U. Churchill

Linear Extremal Problems in the Hardy Space H p for 0 p , Robert Christopher Connelly

Statistical Analysis and Modeling of Ovarian and Breast Cancer , Muditha V. Devamitta Perera

Statistical Analysis and Modeling of Stomach Cancer Data , Chao Gao

Structural Analysis of Poloidal and Toroidal Plasmons and Fields of Multilayer Nanorings , Kumar Vijay Garapati

Dynamics of Multicultural Social Networks , Kristina B. Hilton

Cybersecurity: Stochastic Analysis and Modelling of Vulnerabilities to Determine the Network Security and Attackers Behavior , Pubudu Kalpani Kaluarachchi

Generalized D-Kaup-Newell integrable systems and their integrable couplings and Darboux transformations , Morgan Ashley McAnally

Patterns in Words Related to DNA Rearrangements , Lukas Nabergall

Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer , Shuang Na

Schreier Graphs of Thompson's Group T , Allen Pennington

Cybersecurity: Probabilistic Behavior of Vulnerability and Life Cycle , Sasith Maduranga Rajasooriya

Bayesian Artificial Neural Networks in Health and Cybersecurity , Hansapani Sarasepa Rodrigo

Real-time Classiﬁcation of Biomedical Signals, Parkinson’s Analytical Model , Abolfazl Saghafi

Lump, complexiton and algebro-geometric solutions to soliton equations , Yuan Zhou

Theses/Dissertations from 2016 2016

A Statistical Analysis of Hurricanes in the Atlantic Basin and Sinkholes in Florida , Joy Marie D'andrea

Statistical Analysis of a Risk Factor in Finance and Environmental Models for Belize , Sherlene Enriquez-Savery

Putnam's Inequality and Analytic Content in the Bergman Space , Matthew Fleeman

On the Number of Colors in Quandle Knot Colorings , Jeremy William Kerr

Statistical Modeling of Carbon Dioxide and Cluster Analysis of Time Dependent Information: Lag Target Time Series Clustering, Multi-Factor Time Series Clustering, and Multi-Level Time Series Clustering , Doo Young Kim

Some Results Concerning Permutation Polynomials over Finite Fields , Stephen Lappano

Hamiltonian Formulations and Symmetry Constraints of Soliton Hierarchies of (1+1)-Dimensional Nonlinear Evolution Equations , Solomon Manukure

Modeling and Survival Analysis of Breast Cancer: A Statistical, Artificial Neural Network, and Decision Tree Approach , Venkateswara Rao Mudunuru

Generalized Phase Retrieval: Isometries in Vector Spaces , Josiah Park

Leonard Systems and their Friends , Jonathan Spiewak

Resonant Solutions to (3+1)-dimensional Bilinear Differential Equations , Yue Sun

Statistical Analysis and Modeling Health Data: A Longitudinal Study , Bhikhari Prasad Tharu

Global Attractors and Random Attractors of Reaction-Diffusion Systems , Junyi Tu

Time Dependent Kernel Density Estimation: A New Parameter Estimation Algorithm, Applications in Time Series Classiﬁcation and Clustering , Xing Wang

On Spectral Properties of Single Layer Potentials , Seyed Zoalroshd

Theses/Dissertations from 2015 2015

Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach , Wei Chen

Active Tile Self-assembly and Simulations of Computational Systems , Daria Karpenko

Nearest Neighbor Foreign Exchange Rate Forecasting with Mahalanobis Distance , Vindya Kumari Pathirana

Statistical Learning with Artificial Neural Network Applied to Health and Environmental Data , Taysseer Sharaf

Radial Versus Othogonal and Minimal Projections onto Hyperplanes in l_4^3 , Richard Alan Warner

Ensemble Learning Method on Machine Maintenance Data , Xiaochuang Zhao

Theses/Dissertations from 2014 2014

Properties of Graphs Used to Model DNA Recombination , Ryan Arredondo

Recursive Methods in Number Theory, Combinatorial Graph Theory, and Probability , Jonathan Burns

On the Classification of Groups Generated by Automata with 4 States over a 2-Letter Alphabet , Louis Caponi

Statistical Analysis, Modeling, and Algorithms for Pharmaceutical and Cancer Systems , Bong-Jin Choi

Topological Data Analysis of Properties of Four-Regular Rigid Vertex Graphs , Grant Mcneil Conine

Trend Analysis and Modeling of Health and Environmental Data: Joinpoint and Functional Approach , Ram C. Kafle

A Maximum Principle in the Engel Group , James Klinedinst

Stochastic Modeling and Analysis of Energy Commodity Spot Price Processes , Olusegun Michael Otunuga

Theses/Dissertations from 2013 2013

Statistical Topics Applied to Pressure and Temperature Readings in the Gulf of Mexico , Malena Kathleen Allison

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Top 99+ Trending Statistics Research Topics for Students

Being a statistics student, finding the best statistics research topics is quite challenging. But not anymore; find the best statistics research topics now!!!

Statistics is one of the tough subjects because it consists of lots of formulas, equations and many more. Therefore the students need to spend their time to understand these concepts. And when it comes to finding the best statistics research project for their topics, statistics students are always looking for someone to help them.

In this blog, we will share with you the most interesting and trending statistics research topics in 2023. It will not just help you to stand out in your class but also help you to explore more about the world.

As you know, it is always suggested that you should work on interesting topics. That is why we have mentioned the most interesting research topics for college students and high school students. Here in this blog post, we will share with you the list of 99+ awesome statistics research topics.

Why Do We Need to Have Good Statistics Research Topics?

Table of Contents

Having a good research topic will not just help you score good grades, but it will also allow you to finish your project quickly. Because whenever we work on something interesting, our productivity automatically boosts. Thus, you need not invest lots of time and effort, and you can achieve the best with minimal effort and time.

What Are Some Interesting Research Topics?

If we talk about the interesting research topics in statistics, it can vary from student to student. But here are the key topics that are quite interesting for almost every student:-

Top 99+ Trending Statistics Research Topics For 2023

Here in this section, we will tell you more than 99 trending statistics research topics:

Sports Statistics Research Topics

Psychology Research Topics for Statistics

Applied Statistics Research Topics

Personalized Medicine Statistics Research Topics

Experimental Design Statistics Research Topics

Easy Statistics Research Topics

Statistical Research Topics for High School

Survey Topics for Statistics

Statistics Research Paper Topics for Graduates

AP Statistics Topics

Good Statistics Research Topics

Business Statistics Topics

Statistical Research Topics for College Students

How To Write Good Statistics Research Topics?

So, the main question that arises here is how you can write good statistics research topics. The trick is understanding the methodology that is used to collect and interpret statistical data. However, if you are trying to pick any topic for your statistics project, you must think about it before going any further.

As a result, it will teach you about the data types that will be researched because the sample will be chosen correctly. On the other hand, your basic outline for choosing the correct topics is as follows:

Note: Always include the sources from which you obtained the statistics data.

Top 3 Tips to Choose Good Statistics Research Topics

It can be quite easy for some students to pick a good statistics research topic without the help of an essay writer . But we know that it is not a common scenario for every student. That is why we will mention some of the best tips that will help you choose good statistics research topics for your next project. Either you are in a hurry or have enough time to explore. These tips will help you in every scenario.

1. Narrow down your research topic

We all start with many topics as we are not sure about our specific interests or niche. The initial step to picking up a good research topic for college or school students is to narrow down the research topic.

For this, you need to categorize the matter first. And then pick a specific category as per your interest. After that, brainstorm about the topic’s content and how you can make the points catchy, focused, directional, clear, and specific.

2. Choose a topic that gives you curiosity

After categorizing the statistics research topics, it is time to pick one from the category. Don’t pick the most common topic because it will not help your grades and knowledge. Instead of it, please choose the best one, in which you have little information, or you are more likely to explore it.

In a statistics research paper, you always can explore something beyond your studies. By doing this, you will be more energetic to work on this project. And you will also feel glad to get them lots of information you were willing to have but didn’t get because of any reasons.

It will also make your professor happy to see your work. Ultimately it will affect your grades with a positive attitude.

3. Choose a manageable topic

Now you have decided on the topic, but you need to make sure that your research topic should be manageable. You will have limited time and resources to complete your project if you pick one of the deep statistics research topics with massive information.

Then you will struggle at the last moment and most probably not going to finish your project on time. Therefore, spend enough time exploring the topic and have a good idea about the time duration and resources you will use for the project.

Statistics research topics are massive in numbers. Because statistics operations can be performed on anything from our psychology to our fitness. Therefore there are lots more statistics research topics to explore. But if you are not finding it challenging, then you can take the help of our statistics experts . They will help you to pick the most interesting and trending statistics research topics for your projects.

With this help, you can also save your precious time to invest it in something else. You can also come up with a plethora of topics of your choice and we will help you to pick the best one among them. Apart from that, if you are working on a project and you are not sure whether that is the topic that excites you to work on it or not. Then we can also help you to clear all your doubts on the statistics research topic.

Frequently Asked Questions

Q1. what are some good topics for the statistics project.

Have a look at some good topics for statistics projects:- 1. Research the average height and physics of basketball players. 2. Birth and death rate in a specific city or country. 3. Study on the obesity rate of children and adults in the USA. 4. The growth rate of China in the past few years 5. Major causes of injury in Football

Q2. What are the topics in statistics?

Statistics has lots of topics. It is hard to cover all of them in a short answer. But here are the major ones: conditional probability, variance, random variable, probability distributions, common discrete, and many more.

Q3. What are the top 10 research topics?

Here are the top 10 research topics that you can try in 2023:

1. Plant Science 2. Mental health 3. Nutritional Immunology 4. Mood disorders 5. Aging brains 6. Infectious disease 7. Music therapy 8. Political misinformation 9. Canine Connection 10. Sustainable agriculture

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Megamenu featured, megamenu social, math/stats thesis and colloquium topics.

Updated: April 2022

Math/Stats Thesis and Colloquium Topics

The degree with honors in Mathematics or Statistics is awarded to the student who has demonstrated outstanding intellectual achievement in a program of study which extends beyond the requirements of the major. The principal considerations for recommending a student for the degree with honors will be: Mastery of core material and skills, breadth and, particularly, depth of knowledge beyond the core material, ability to pursue independent study of mathematics or statistics, originality in methods of investigation, and, where appropriate, creativity in research.

An honors program normally consists of two semesters (MATH/STAT 493 and 494) and a winter study (WSP 031) of independent research, culminating in a thesis and a presentation. Under certain circumstances, the honors work can consist of coordinated study involving a one semester (MATH/STAT 493 or 494) and a winter study (WSP 030) of independent research, culminating in a “minithesis” and a presentation. At least one semester should be in addition to the major requirements, and thesis courses do not count as 400-level senior seminars.

An honors program in actuarial studies requires significant achievement on four appropriate examinations of the Society of Actuaries and giving a second colloquium talk. Written work is a possible component.

Highest honors will be reserved for the rare student who has displayed exceptional ability, achievement or originality. Such a student usually will have written a thesis, or pursued actuarial honors and written a mini-thesis. An outstanding student who writes a mini-thesis, or pursues actuarial honors and writes a paper, might also be considered. In all cases, the award of honors and highest honors is the decision of the Department.

Here is a list of possible colloquium topics that different faculty are willing and eager to advise. You can talk to several faculty about any colloquium topic, the sooner the better, at least a month or two before your talk. For various reasons faculty may or may not be willing or able to advise your colloquium, which is another reason to start early.

RESEARCH INTERESTS OF MATHEMATICS AND STATISTICS FACULTY

Here is a list of faculty interests and possible thesis topics. You may use this list to select a thesis topic or you can use the list below to get a general idea of the mathematical interests of our faculty.

Colin Adams

Research interests: Topology and tiling theory. I work in low-dimensional topology. Specifically, I work in the two fields of knot theory and hyperbolic 3-manifold theory and develop the connections between the two. Knot theory is the study of knotted circles in 3-space, and it has applications to chemistry, biology and physics. I am also interested in tiling theory and have been working with students in this area as well.

Hyperbolic 3-manifold theory utilizes hyperbolic geometry to understand 3-manifolds, which can be thought of as possible models of the spatial universe.

Possible thesis topics:

Possible colloquium topics : Particularly interested in topology, knot theory, graph theory, tiling theory and geometry but will consider other topics.

Julie Blackwood

Research Interests: Mathematical modeling, theoretical ecology, population biology, differential equations, dynamical systems.

My research uses mathematical models to uncover the complex mechanisms generating ecological dynamics, and when applicable emphasis is placed on evaluating intervention programs. My research is in various ecological areas including ( I ) invasive species management by using mathematical and economic models to evaluate the costs and benefits of control strategies, and ( II ) disease ecology by evaluating competing mathematical models of the transmission dynamics for both human and wildlife diseases.

Each topic (1-3) can focus on a case study of a particular invasive species or disease, and/or can investigate the effects of ecological properties (spatial structure, resource availability, contact structure, etc.) of the system.

Possible colloquium topics: Any topics in applied mathematics, such as:

Research Interest : Statistical methodology and applications. My research focuses on resolving issues with large and/or high-dimensional datasets. One of my research topics is variable selection for high-dimensional data. I am interested in traditional and modern approaches for selecting variables from a large candidate set in various different selections and studying the corresponding asymptotic properties. The settings include linear model, partial linear model, survival analysis, dynamic networks, etc. Another part of my research studies the mediation model as a type of model to study the causal relationships between variables. My research involves applying existing methods and developing new procedures to model the correlated observations and capture the time-varying effect. Additionally, I am also interested in applications of data mining as well statistical learning methods in various settings, e.g. analyzing the rhetorical styles in English text data.

Variable selection using modern techniques by penalization. For example, for survival models, we could include all potentially relevant risk factors (or network features) initially, then select the most important ones for a simpler model with easy interpretations. Other examples are not restricted to these settings.

* Extension of the classic mediation models to settings with correlated and high-dimensional mediators.

Analyzing English text data. We shall analyze the English text dataset processed by the environment called “Docuscope” with tools for corpus-based rhetorical analysis. The data have a hierarchical structure and contain very rich information about the rhetorical styles being used. We could apply statistical models as well statistical learning algorithms to reduce dimensions and have a more insightful understanding of the text.

Possible colloquium topics: Open to any problems in statistical methodology and applications, not limited to my research interests and the possible thesis topics above.

Richard De Veaux

Research interests: Statistics.

My research interests are in both statistical methodology and in statistical applications. For the first, I look at different methods and try to understand why some methods work well in particular settings, or more creatively, to try to come up with new methods. For the second, I work in collaboration with an investigator (e.g. scientist, doctor, marketing analyst) on a particular statistical application. I have been especially interested in problems dealing with large data sets and the associated modeling tools that work for these problems.

Possible colloquium topics:

Thomas Garrity

Research interest: Number Theory and Dynamics.

My area of research is officially called “multi-dimensional continued fraction algorithms,” an area that touches many different branches of mathematics (which is one reason it is both interesting and rich). In recent years, students writing theses with me have used serious tools from geometry, dynamics, ergodic theory, functional analysis, linear algebra, differentiability conditions, and combinatorics. (No single person has used all of these tools.) It is an area to see how mathematics is truly interrelated, forming one coherent whole.

While my original interest in this area stemmed from trying to find interesting methods for expressing real numbers as sequences of integers (the Hermite problem), over the years this has led to me interacting with many different mathematicians, and to me learning a whole lot of math. My theses students have had much the same experiences, including the emotional rush of discovery and the occasional despair of frustration. The whole experience of writing a thesis should be intense, and ultimately rewarding. Also, since this area of math has so many facets and has so many entrance points, I have had thesis students from wildly different mathematical backgrounds do wonderful work; hence all welcome.

Possible colloquium topics: Any interesting topic in mathematics.

Leo Goldmakher

Research interests: Number theory and arithmetic combinatorics.

I’m interested in quantifying structure and randomness within naturally occurring sets or sequences, such as the prime numbers, or the sequence of coefficients of a continued fraction, or a subset of a vector space. Doing so typically involves using ideas from analysis, probability, algebra, and combinatorics.

Possible thesis topics:

Anything in number theory or arithmetic combinatorics.

Possible colloquium topics: I’m happy to advise a colloquium in any area of math.

Pamela Harris

Research interest: My research is in the area of algebraic combinatorics. I like to use combinatorial arguments and techniques to enumerate, examine, and investigate the existence of discrete mathematical structures with certain properties. Areas of interest for these applications are in algebra, discrete geometry, number theory, and graph theory, but there is no limit to the applications: if you can count it, I am interested!

Possible thesis topics: Here are some sample ideas for things we could investigate:

Possible colloquium topics: Any topic with a combinatorics flavor.

Stewart Johnson (On Leave Spring 2023)

Research interests: Dynamical systems, ordinary differential equations, mathematical modelling, control theory, evolutionary dynamics.

Possible thesis topics:

Any topics in mathematics, mathematical models in life sciences, engineering, and other fields, applied mathematics in general, such as:

Spatial/Lattice dynamics.

Bernhard Klingenberg (On Leave 2022 – 2023)

Research interests: I’m interested in the analysis and statistical modeling of categorical response data, ranging from simple binary or longitudinal ordinal response to multivariate binary observations. Such data are common in the social and political sciences, and in medical and public health research. One particular application is in drug safety, where several adverse events (and their severity) are observed and compared between a treated group and an untreated group. Such settings naturally lead to considerations of multiplicity, the compounding of errors when conducting multiple inferences, and so a further interest of mine is in multiple comparison procedures for categorical responses. Since I believe it is better to estimate effect rather than just to establish significance, I’m interested in methodology for constructing simultaneous confidence intervals.

Any and all methods for categorical data analysis

Any topic in statistics, such as:

Susan Loepp

Research interests: Commutative Algebra. I study algebraic structures called commutative rings. Specifically, I have been investigating the relationship between local rings and their completion. One defines the completion of a ring by first defining a metric on the ring and then completing the ring with respect to that metric. I am interested in what kinds of algebraic properties a ring and its completion share. This relationship has proven to be intricate and quite surprising. I am also interested in the theory of tight closure, and Homological Algebra.

Topics in Commutative Algebra including:

Possible colloquium topics: Any topics in mathematics and especially commutative algebra/ring theory.

Steven Miller

For more information and references, see http://www.williams.edu/Mathematics/sjmiller/public_html/index.htm

Research interests : Analytic number theory, random matrix theory, probability and statistics, graph theory.

My main research interest is in the distribution of zeros of L-functions. The most studied of these is the Riemann zeta function, Sum_{n=1 to oo} 1/n^s. The importance of this function becomes apparent when we notice that it can also be written as Prod_{p prime} 1 / (1 – 1/p^s); this function relates properties of the primes to those of the integers (and we know where the integers are!). It turns out that the properties of zeros of L-functions are extremely useful in attacking questions in number theory. Interestingly, a terrific model for these zeros is given by random matrix theory: choose a large matrix at random and study its eigenvalues. This model also does a terrific job describing behavior ranging from heavy nuclei like Uranium to bus routes in Mexico! I’m studying several problems in random matrix theory, which also have applications to graph theory (building efficient networks). I am also working on several problems in probability and statistics, especially (but not limited to) sabermetrics (applying mathematical statistics to baseball) and Benford’s law of digit bias (which is often connected to fascinating questions about equidistribution). Many data sets have a preponderance of first digits equal to 1 (look at the first million Fibonacci numbers, and you’ll see a leading digit of 1 about 30% of the time). In addition to being of theoretical interest, applications range from the IRS (which uses it to detect tax fraud) to computer science (building more efficient computers). I’m exploring the subject with several colleagues in fields ranging from accounting to engineering to the social sciences.

Possible colloquium topics:

Plus anything you find interesting. I’m also interested in applications, and have worked on subjects ranging from accounting to computer science to geology to marketing….

Ralph Morrison

Research interests: I work in algebraic geometry, tropical geometry, graph theory (especially chip-firing games on graphs), and discrete geometry, as well as computer implementations that study these topics. Algebraic geometry is the study of solution sets to polynomial equations. Such a solution set is called a variety. Tropical geometry is a “skeletonized” version of algebraic geometry. We can take a classical variety and “tropicalize” it, giving us a tropical variety, which is a piecewise-linear subset of Euclidean space. Tropical geometry combines combinatorics, discrete geometry, and graph theory with classical algebraic geometry, and allows for developing theory and computations that tell us about the classical varieties. One flavor of this area of math is to study chip-firing games on graphs, which are motivated by (and applied to) questions about algebraic curves.

Possible thesis topics : Anything related to tropical geometry, algebraic geometry, chip-firing games (or other graph theory topics), and discrete geometry. Here are a few specific topics/questions:

Possible Colloquium topics: I’m happy to advise a talk in any area of math, but would be especially excited about talks related to algebra, geometry, graph theory, or discrete mathematics.

Shaoyang Ning (On Leave 2022 – 2023)

Research Interest : Statistical methodologies and applications. My research focuses on the study and design of statistical methods for integrative data analysis, in particular, to address the challenges of increasing complexity and connectivity arising from “Big Data”. I’m interested in innovating statistical methods that efficiently integrate multi-source, multi-resolution information to solve real-life problems. Instances include tracking localized influenza with Google search data and predicting cancer-targeting drugs with high-throughput genetic profiling data. Other interests include Bayesian methods, copula modeling, and nonparametric methods.

Possible colloquium topics: Any topics in statistical methodology and application, including but not limited to: topics in applied statistics, Bayesian methods, computational biology, statistical learning, “Big Data” mining, and other cross-disciplinary projects.

Allison Pacelli (On Leave 2022 – 2023)

Research interests: Algebraic Number Theory and Math Education

The Fundamental Theorem of Arithmetic states that the ring of integers is a unique factorization domain, that is, every integer can be uniquely factored into a product of primes. In other rings, there are analogues of prime numbers, but factorization into primes is not necessarily unique!

In order to determine whether factorization into primes is unique in the ring of integers of a number field or function field, it is useful to study the associated class group – the group of equivalence classes of ideals. The class group is trivial if and only if the ring is a unique factorization domain. Although the study of class groups dates back to Gauss and played a key role in the history of Fermat’s Last Theorem, many basic questions remain open.

I am also very interested in the beautiful analogies between the integers and polynomials over a finite field and between number fields and function fields.

Possible thesis topics:

Possible colloquium topics: I’m interested in advising any topics in algebra, number theory, or mathematics and politics, including voting and fair division.

Anna Plantinga

Research interests: I am interested in both applied and methodological statistics. My research primarily involves problems related to statistical analysis within genetics, genomics, and in particular the human microbiome (the set of bacteria that live in and on a person). Current areas of interest include longitudinal data, distance-based analysis methods such as kernel machine regression, high-dimensional data, and structured data.

Any topics in statistical application, education, or methodology, including but not restricted to:

Cesar Silva (On Leave 2022 – 2023)

Research interests : Ergodic theory and measurable dynamics; in particular mixing properties and rank one examples, and infinite measure-preserving and nonsingular transformations and group actions. Measurable dynamics of transformations defined on the p-adic field. Measurable sensitivity. Fractals. Fractal Geometry.

Possible thesis topics: Ergodic Theory. Ergodic theory studies the probabilistic behavior of abstract dynamical systems. Dynamical systems are systems that change with time, such as the motion of the planets or of a pendulum. Abstract dynamical systems represent the state of a dynamical system by a point in a mathematical space (phase space). In many cases this space is assumed to be the unit interval [0,1) with Lebesgue measure. One usually assumes that time is measured at discrete intervals and so the law of motion of the system is represented by a single map (or transformation) of the phase space [0,1). In this case one studies various dynamical behaviors of these maps, such as ergodicity, weak mixing, and mixing. I am also interested in studying the measurable dynamics of systems defined on the p-adics numbers. The prerequisite is a first course in real analysis. Topological Dynamics. Dynamics on compact or locally compact spaces.

Topics in mathematics and in particular:

Mihai Stoiciu

Research interests: Mathematical Physics and Functional Analysis. I am interested in the study of the spectral properties of various operators arising from mathematical physics – especially the Schrodinger operator. In particular, I am investigating the distribution of the eigenvalues for special classes of self-adjoint and unitary random matrices.

Topics in mathematical physics, functional analysis and probability including:

Possible colloquium topics:

Any topics in mathematics, mathematical physics, functional analysis, or probability, such as:

Daniel Turek

Research Interests: Bayesian statistics. My research involves studying and designing efficient algorithms for Markov chain Monte Carlo (MCMC) sampling of hierarchical (graphical) models. How can we optimally assign samplers based upon model structure? Under what circumstances are different sampling strategies advantageous? The larger goal is to design an automated procedure for producing a highly efficient, problem-specific, MCMC algorithm.

Elizabeth Upton

Research Interests: My research interests center around network science, with a focus on regression methods for network-indexed data. Networks are used to capture the relationships between elements within a system. Examples include social networks, transportation networks, and biological networks. I also enjoy tackling problems with pragmatic applications and am therefore interested in applied interdisciplinary research.

Research Papers/Topics in Statistics

Determinants of child mortality and morbidity in south sudan..

ABSTRACT The main objective of this study was to examine factors associated with childhood mortality and morbidity in South Sudan. The specific objectives were to establish childhood mortality, examine the effect of childhood factors on morbidity as well as examining the contribution of mother factors on childhood mortality and morbidity. The study used both descriptive and inferential analysis using secondary data from Second South Sudan household health survey (SSHHS2). Using univariate, ...

Determinants of Child Mortality and Morbidity in South Sudan

Multivariate approach to time series model identification.

ABSTRACT This work suggests an exact and systematic model identification approach which is entirely new and addresses most of the challenges of existing methods. We developed quadratic discriminant functions for various orders of autoregressive moving average (ARMA) models. An Algorithm that is to be used alongside our functions was also developed. In achieving this, three hundred sets of time series data were simulated for the development of our functions. Another twenty five sets of simul...

Five Child-killer Diseases and Under-five Mortality in Yola Adamawa State, Nigeria (2001-2015)

Abstract The study was set out to investigate the prevalence of the five-child killer diseases and its cause effect on under-five mortality. It was driven by four major objectives; Determining the prevalence rate of the five child-killer diseases; Determining the proportion of mortality due to the five child-lciller diseases to the total under-five mortality in the studying area; Examining the correlation between the five child-killer diseases and under-five mortality and Determining the caus...

A Non-Linear Regime Switching Models in Financial Series with Two Regimes

ABSTRACT In this study, two economic series which have changes in regimes were considered. Models considered for the two series are Simple Switching Mixture (SSM) model and Markov Switching Autoregressive (MS-AR) model. Predictions of future transition regime probabilities were performed using the Hamilton filter of m-period transition matrix for MS-AR model, while, the two state ergodic m-step ahead transitions probabilities for SSM model. Subsequently, forecast evaluation measures for the t...

Seven-Factor Central Composite Design Robust to a Pair of Missing Observations

ABSTRACT In this work, the seven-factor central composite design () is studied in respect of a pair of missing values using the minimax loss criterion. It was observed empirically that seven-factor central composite design with k = 7 , = 128 f n , = 14 a n , = 3 c n and n = 145 is robust at a = 2.6 and variance robust at a = 2.45. We also observed that the loss effect of missing a pair of factorial points is a decreasing function of increasing a , while the loss effect of a pair of axial poin...

Integer Programming approach to Staff Scheduling of Resource Persons to a Polytechnic: A case study of NBTE’s Accreditation team

Abstract In this work,we applied an Integer Programmingapproach to schedulingof resource persons on National Board for Technical Education (NBTE) accreditation team to a Polytechnic. The level of compliance of the institution to national minimum benchmark for academic standards with respect tostaff mix was deduced.The use of Integer Programming approach and Lingo software in solving the model developed, resulted in considerable drop in accreditation cost from four million, seven hundred and f...

Methodological Models for Optimal Control of Marine Oil Spill

Abstract The frequency of accidental discharge of oil into aquatic environment has presented a significant threat to marine biota with related adverse effects on the supply of products and services of importance to human cultures. This threat of economic and environmental devastation led to the development of a number of monitoring and clean-up alternatives such as remote sensing and chemical dispersants, respective. This study proposed a new possible research direction in marine oil spill mo...

On Optimal Complete Replicated Rotatable, Orthogonal, Efficient and Relative Efficient Central Composite Designs

ABSTRACT Replication is the repetition of the treatments under investigation to different experimental unit. Replication is essential for obtaining a valid estimate of the experimental error and to a greater extent, increasing the precision of estimating the pairwise difference among the treatment effects. It is on this note that when full replication (replication of cube and star point) is made, there exists need for optimal replication for the purpose of minimizing biasedness. Some variatio...

On Equal Predictive Ability and Parallelism of Self-Exciting Threshold Autoregressive Model

Abstract Several authors have developed statistical procedures for testing whether two models are similar. In this work, we not only present the notion of equivalence but also extend this to a measure of predictive ability of a time series following a stationary self-exciting threshold autoregressive (SETAR) process. A proposition and a lemma were used to join the structure of the predictability measure to the coefficients and sample autocorrelation of the SETAR process. Illustrative examples...

Agricultural Production and Economic Growth in Somalia from 1986 to 2016

ABSTRACT The study aimed at examining the effect of agricultural production on economic growth in Somalia from the period of 1986 to 2016 using time series data. Specifically, the study examined the causality and the effect of agricultural production on GDP growth. The objective was motivated by the fact that the problem statement emphasized that agricultural production has not yielded expected economic growth in Somalia. The study hypothesized that no casualty between agricultural production...

Determinants of Maternal Mortality of Somalia in the Period 1990 to 2012

ABSTRACT This study investigated the influence of gross domestic product per capita, total fertility rate and HIV/AIDS prevalence rate (termed as determinants) on maternal mortality of Somalia in the period 1990-2012. This model is dedicated from demographic transition theory-derived from modernization theory. Secondary data between 1990 and 2012 inclusive collected from the publications of United Nations Statistics Division (UNSD) and World Health Organization (WHO) was used for this study. ...

Population Growth and Youth Unemployment in Somalia (1991-2017)

ABSTRACT he purpose of the study was to investigate the relationship between the population growth and youth unemployment in Somalia. The specific objectives of the study were; to examine the long-run relationship, causation, and effect of population growth on youth unemployment rate. The study used a descriptive, correlation and longitudinal design and only employed the Quantitative research approach. L~ie study was carried out using secondary 4ata collected from 1991 to 2017. Augmented Dick...

Health Service Delivery and Maternal Survival at Banadir Hospitals for 2001 — 2010 in Mogadishu, Somalia

Abstract This study was set out to establish the relationship between health service delivery and maternal survival at Banadir hospitals for 2001 up to 2010 in Mogadishu, Somalia the study wanted to establish the foUowing to determine the trend and level of health service delivery for 2001 to 2010 at Banadir Hospitals, to establish the trend and the level of maternal survival-for 2001 to 2010 at Banadir Hospitals, and to investigate the relationship between the health service delivery and mat...

Population Growth and Youth Unemployment in Uganda (1991-2014)

ABSTRACT This study was motivated by the fact the Uganda has one of the fastest population growth rates in the world accompanied by high unemployment rates thus the study aimed at investigating the relationship between population growth rates and youth unemployment in Uganda (1991 to 2014). The specific objectives of the study were; to find out the long run relationship between the population growth rate and youth unemployment rate in Uganda, to examine the causality between population grow...

Statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. Statistics is the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and regularity on aggregates of more or less disparate elements. Afribary curates list of academic papers and project topics in Statistics. You can browse Statistics project topics, Statistics thesis topics, Statistics dissertation topics, Statistics seminar topics, Statistics essays, Statistics text books, lesson notes in Statistics and all academic papers in Statistics field.

Popular Papers/Topics

Statistical analysis of road accidents (a case in enugu state from 1993 to 2000), statistical quality control on coca-cola product (coke liquid), time series analysis on patient attendance (a case study of general hospital kofar gayan, zaria), statistical analysis of the federal government’s expenditure and revenue, statistical study on prices and quantities of staple foods in imo state (2006-2012), statistical analysis of criminal offences recorded abuja (fct) from 1999 – 2007, statistical analysis of factors affecting students’ academic performance in tertiary institutions, partial least squares regression estimation of nonorthogonal problems, estimation of nonorthogonal problem using time series dataset, statistical analysis on still-birth and live birth-rate, modeling of health related quality of life among diabetes patients using integrated fuzzy inference system and linear regressions (1), the statistical analysis of the number of admitted and released children in the motherless babies home, logistic regression on effect of tuberculosis and malaria on hiv, regression methods in the presence of heteroscedasticity and outliers, application of nented design on the effect of feeds and seasonal variation on dairy milk yield (a case study of napri shika, abu zaria).

[100+] Statistics Research Topics With Free [Thesis Pdf] 2023

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Research Topic For Statistics Research 2023

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150 Best Statistics Research Paper Topics for You

Are you taking stats and want to get top grades in assignments? The two most important things are getting good topics and writing the papers professionally. Unfortunately, these two steps are very challenging and make some students score low or failing grades. However, we are here to help. Keep reading to see our list of top 150 leading stats research topics and pick the preferred option.

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Statistics Research Paper Topics for Graduates

We have a list of statistics research paper topics for graduates, of course. You can get some very nice ideas from these examples:

Difficult Statistical Research Topics

If you want to try your hand at a more difficult topic, we can help. Take a quick look at these difficult statistical research topics and choose the one you like:

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statistics dissertation topics

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