Browsing Statistics Masters Theses by Issue Date
Now showing items 41-60 of 64
-
Testing Parallelism for the Four-Parameter Logistic Model with D-Optimal Design
(North Dakota State University, 2018)In order to determine the potency of the test preparation relative to the standard preparation, it is often important to test parallelism between a pair of dose-response curves of reference standard and test sample. Optimal ... -
Investigating Statistical vs. Practical Significance of the Kolmogorov-Smirnov Two-Sample Test Using Power Simulations and Resampling Procedures
(North Dakota State University, 2018)This research examines the power of the Kolmogorov-Smirnov two-sample test. The motivation for this research is a large data set containing soil salinity values. One problem encountered was that the power of the ... -
A Comparison of Methods Taking into Account Asymmetry when Evaluating Differential Expression in Gene Expression Experiments
(North Dakota State University, 2018)Gene expression technologies allow expression levels to be compared across treatments for thousands of genes simultaneously. Asymmetry in the empirical distribution of the test statistics from the analysis of a gene ... -
A Visualization Technique for Course Evaluations and Other Likert Scale Data
(North Dakota State University, 2018)Course evaluation is one of the primary ways of collecting feedback from students at NDSU. Since almost every student in every course submits one at the end of the semester, it generates a lot of data. The data is summarized ... -
Comparative Analysis of Traditional and Modified DECODE Method in Small Sample Gene Expression Experiments
(North Dakota State University, 2018)Background: The DECODE method integrates differential co-expression and differential expression analysis methods to better understand biological functions of genes and their associations with disease. The DECODE method ... -
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 ... -
Empirical Study of Two Hypothesis Test Methods for Community Structure in Networks
(North Dakota State University, 2019)Many real-world network data can be formulated as graphs, where a binary relation exists between nodes. One of the fundamental problems in network data analysis is community detection, clustering the nodes into different ... -
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 ... -
Analyzing and Controlling Biases in Student Rating of Instruction
(North Dakota State University, 2019)Many colleges and universities have adopted the student ratings of instruction (SROI) system as one of the measures for instructional effectiveness. This study aims to establish a predictive model and address two questions ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 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 ... -
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 ... -
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 ...