Browsing Statistics Masters Theses by Title
Now showing items 7-26 of 64
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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 ... -
Bracketing the NCAA Women's Basketball Tournament
(North Dakota State University, 2014)This paper presents a bracketing method for all the 63 games in NCAA Division I Women's basketball tournament. Least squares models and logistic regression models for Round 1, Round 2 and Rounds 3-6 were developed, to ... -
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 ... -
Comparative Classification of Prostate Cancer Data using the Support Vector Machine, Random Forest, Dualks and k-Nearest Neighbours
(North Dakota State University, 2015)This paper compares four classifications tools, Support Vector Machine (SVM), Random Forest (RF), DualKS and the k-Nearest Neighbors (kNN) that are based on different statistical learning theories. The dataset used is a ... -
A Comparative Multiple Simulation Study for Parametric and Nonparametric Methods in the Identification of Differentially Expressed Genes
(North Dakota State University, 2021)RNA-seq data simulated from a negative binomial distribution, sampled without replacement, or modified from read counts were analyzed to compare differential gene expression analysis methods in terms of false discovery ... -
Comparing Accuracies of Spatial Interpolation Methods on 1-Minute Ground Magnetometer Readings
(North Dakota State University, 2017)Geomagnetic disturbances caused by external solar events can create geomagnetically induced currents (GIC) throughout conducting networks of Earth’s surface. GIC can cause disruption that scales from minor to catastrophic. ... -
Comparing Dunnett's Test with the False Discovery Rate Method: A Simulation Study
(North Dakota State University, 2013)Recently, the idea of multiple comparisons has been criticized because of its lack of power in datasets with a large number of treatments. Many family-wise error corrections are far too restrictive when large quantities ... -
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 ... -
Comparing Total Hip Replacement Drug Treatments for Cost and Length of Stay
(North Dakota State University, 2015)The objective of this study is to identify the potential effect anticoagulants, spinal blocks, and antifibrinolytics have on overall cost, length of stay, and re-admission rates for total hip replacement patients. We use ... -
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 ... -
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 ... -
Comparison of Proposed K Sample Tests with Dietz's Test for Nondecreasing Ordered Alternatives for Bivariate Normal Data
(North Dakota State University, 2011)There are many situations in which researchers want to consider a set of response variables simultaneously rather than just one response variable. For instance, a possible example is when a researcher wishes to determine ... -
A Comparison of the Ansari-Bradley Test and the Moses Test for the Variances
(North Dakota State University, 2011)This paper is aimed to compare the powers and significance levels of two well known nonparametric tests: the Ansari-Bradley test and the Moses test in both situations where the equal-median assumption is satisfied and ... -
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 ... -
D-optimal Design for the 5PL-1P Model in Chemical Toxicity Assessment
(North Dakota State University, 2016)The five-parameter logistic minus one-parameter model is a hybrid between the five-parameter model and the four-parameter model used for the relationship between concentration and response. The four-parameter model includes ... -
Demographic Analysis of Student Evaluations
(North Dakota State University, 2015)Data was collected from North Dakota State University’s student rating of instructor’s forms during the fall of 2013 and the spring of 2014. This thesis investigates differences between male and female instructor’s ... -
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 ... -
Development of a Prediction Model for the NCAA Division-I Football Championship Subdivision
(North Dakota State University, 2013)This thesis investigates which in-game team statistics are most significant in determining the outcome in a NCAA Division-I Football Championship Subdivision (FCS) game. The data was analyzed using logistic and ordinary ... -
Drug Treatment Comparison for Total Knee Replacement Surgery
(North Dakota State University, 2015)In this study, we aim to better understand how spinal block, anticoagulant, and antifibrinolytic drug treatments are associated with hospital costs, lengths of stay, prevalence of early readmissions, and prevalence of blood ... -
DT-Optimal Designs for Probit Models in Clinical Trials
(North Dakota State University, 2015)The Optimal designs used in a clinical trial depends on the goals of the study. Common goals are estimating model parameters and choosing between models. D-optimal designs are used when the goal is to estimate the model ...