Statistics: Recent submissions
Now showing items 21-40 of 123
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A Spectral Two Sample Test
(North Dakota State University, 2021)In statistics, two-sample tests are commonly desired under many topics. It's crucial to differentiate populations as a prerequisite for developing further analysis. A number of statistical tests have been developed for ... -
Proposed Nonparametric Tests for Equality of Location and Scale Against Ordered Alternatives
(North Dakota State University, 2021)Ordered alternatives tests are sometimes used in life-testing experiments and drug-screening studies. An ordered alternative test is sometimes used to gain power if the researcher thinks parameters will be ordered in a ... -
Survival Analysis of Treatment Effect For Brain Cancer Based on The Surveillance, Epidemiology, and End Results Database
(North Dakota State University, 2020)Cancer is one of the leading causes of death in the United States. The Surveillance, Epidemiology, and End Results (SEER) data from the National Cancer Institute is a population based cancer registry, which geographically ... -
Propensity Score and Survival Analysis for Lung Cancer
(North Dakota State University, 2020)Propensity scores were used to assess covariate balance between black and white groups in each lung cancer stage of a large data set. Pairwise log rank tests were used to test the equality of survival distribution for ... -
The Determinants of Aeronautical Charges of U.S.Airports: A Spatial Analysis
(North Dakota State University, 2020)Using U.S. airport data from 2009 through 2016, this thesis examines the determinants of aeronautical charges of large and medium hub airports and accounts for the spatial dependence of neighboring airports in a spatial ... -
A Comparison of Filtering and Normalization Methods in the Statistical Analysis of Gene Expression Experiments
(North Dakota State University, 2020)Both microarray and RNA-seq technologies are powerful tools which are commonly used in differential expression (DE) analysis. Gene expression levels are compared across treatment groups to determine which genes are ... -
Nonparametric Test for Nondecreasing Order Alternatives in Randomized Complete Block and Balanced Incomplete Block Mixed Design
(North Dakota State University, 2020)Nonparametric tests are used to test hypotheses when the data at hand violate one or more of the assumptions for parametric tests procedures. The test is an ordered alternative (nondecreasing) when there is prior information ... -
Comparing Performance of ANOVA to Poisson and Negative Binomial Regression When Applied to Count Data
(North Dakota State University, 2020)Analysis of Variance (ANOVA) is the easiest and most widely used model nowadays in statistics. ANOVA however requires a set of assumptions for the model to be a valid choice and for the inferences to be accurate. Among ... -
Investigating Gender Bias Among Grant Applicants
(North Dakota State University, 2020)An ongoing debate in society is about the existence of a wage gap between genders, and society’s alleged preference to hire a man over an equally qualified woman. This debate extends from the commercial employment world ... -
Empirical Comparison of Statistical Tests of Dense Subgraph in Network Data
(North Dakota State University, 2020)Network analysis is useful in modeling the structures of different phenomena. A fundamental question in the analysis of network data is whether a network contains community structure. One type of community structure of ... -
Factors Associated with Teacher Preparedness and Career Satisfaction in First Year Teachers
(North Dakota State University, 2020)The objective of this study is to determine the potential association between teaching state, subject taught, perceived preparation given by teacher preparedness programs, and perceived support from administration and ... -
Linear Modeling of Election Results for U.S. House of Representatives Candidates and State Executive Offices for Iowa, Minnesota, and North Dakota
(North Dakota State University, 2020)Better understanding the relationship between the results for the U.S. House of Representatives and for state executive offices could potentially be useful in predicting outcomes if a significant relationship is present ... -
A Comparison of Two Scaling Techniques to Reduce Uncertainty in Predictive Models
(North Dakota State University, 2020)This research examines the use of two scaling techniques to accurately transfer information from small-scale data to large-scale predictions in a handful of nonlinear functions. The two techniques are (1) using random draws ... -
Distributed Inference for Degenerate U-Statistics with Application to One and Two Sample Test
(North Dakota State University, 2020)In many hypothesis testing problems such as one-sample and two-sample test problems, the test statistics are degenerate U-statistics. One of the challenges in practice is the computation of U-statistics for a large sample ... -
Nonparametric Tests for the Umbrella Alternative in a Mixed Design for a Known Peak
(North Dakota State University, 2020)When an assumption from a parametric test cannot be verified, a nonparametric test provides a simple way of conducting a test on populations. The motivation behind conducting a test of the hypothesis is to examine the ... -
Proposed Nonparametric Tests for the Umbrella Alternative in a Mixed Design
(North Dakota State University, 2020)Several nonparametric tests are proposed for a mixed design consisting of a randomized complete block design (RCBD) and a completely randomized design (CRD) under the umbrella hypothesis with a known and an unknown peak. ... -
Proposed Methods for the Nondecreasing Order-Restricted Alternative in a Mixed Design
(North Dakota State University, 2020)Nonparametric statistics are commonly used in the field of statistics due to their robustness when the underlying assumptions are violated for the usual parametric statistics. In this dissertation, we proposed eight ... -
Proposed Nonparametric Tests for the Simple Tree Alternative for Location and Scale Testing
(North Dakota State University, 2020)Location-scale problems arise in many cases, such as, bioinformatics, climate dynamics, finance and medicine (Marozzi, 2013). This research focuses on developing tests to determine whether one or more treatment effects ... -
Type I Error Assessment and Power Comparison of ANOVA and Zero-Inflated Methods on Zero-Inflated Data
(North Dakota State University, 2019)Many tests for the analysis of continuous data have the underlying assumption that the data in question follows a normal distribution (ex. ANOVA, regression, etc.). Within certain research topics, it is common to end up ... -
Bayesian Sparse Factor Analysis of High Dimensional Gene Expression Data
(North Dakota State University, 2019)This work closely studied fundamental techniques of Bayesian sparse Factor Analysis model - constrained Least Square regression, Bayesian Lasso regression, and some popular sparsity-inducing priors. In Appendix A, we ...