Browsing Statistics Masters Theses by Title
Now showing items 44-63 of 64
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Mass Spectrum Analysis of a Substance Sample Placed into Liquid Solution
(North Dakota State University, 2011)Mass spectrometry is an analytical technique commonly used for determining elemental composition in a substance sample. For this purpose, the sample is placed into some liquid solution called liquid matrix. Unfortunately, ... -
A Model to Predict Matriculation of Concordia College Applicants
(North Dakota State University, 2017)Colleges and universities are under mounting pressure to meet enrollment goals in the face of declining college attendance. Insight into student-level probability of enrollment, as well as the identification of features ... -
Modeling Loss Severity With Lognormal Mixtures
(North Dakota State University, 2015)Property and Casualty insurance companies set premium rates by evaluating both loss fre- quency and loss severity data. Insurance companies often model severity using a well-known single distribution such as Lognormal ... -
Modeling the Winners of NCAA Women's Division II Basketball Tournament Games
(North Dakota State University, 2016)This thesis first presents a least squares regression model to identify the in-game statistics that help explain the variation in point spread for NCAA Division II Women’s Basketball Tournament games. Then a logistic ... -
A Multi-trait Mixed-model for Genome-wide Association Study in Barley Population
(North Dakota State University, 2015)Genome-wide association study (GWAS) is a standard approach for studying the genetics of natural variation, typically focusing on association between single-nucleotide polymorphisms (SNPs) and traits. For GWAS, if multiple ... -
A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design
(North Dakota State University, 2011)The purpose of this paper is to present a new nonparametric test statistic for testing against ordered alternatives in a Balanced Incomplete Block Design (BIBD). This test will then be compared with the Durbin test which ... -
Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design
(North Dakota State University, 2012)Nonparametric tests have served as robust alternatives to traditional statistical tests with rigid underlying assumptions. If a researcher expects the treatment effects to follow an umbrella alternative, then the test ... -
On K-Means Clustering Using Mahalanobis Distance
(North Dakota State University, 2012)A problem that arises quite frequently in statistics is that of identifying groups, or clusters, of data within a population or sample. The most widely used procedure to identify clusters in a set of observations is known ... -
Power Analysis to Determine the Importance of Covariance Structure Choice in Mixed Model Repeated Measures Anova
(North Dakota State University, 2017)Repeated measures experiments involve multiple subjects with measurements taken on each subject over time. We used SAS to conduct a simulation study to see how different methods of analysis perform under various simulation ... -
Predicting Outcomes of NBA Basketball Games
(North Dakota State University, 2016)A stratified random sample of 144 NBA basketball games was taken over a three-year period, between 2008 and 2011. Models were developed to predict point spread and to estimate the probability of a specific team winning ... -
Predicting Recessions in the U.S. with Yield Curve Spread
(North Dakota State University, 2013)This paper proposes a hidden Markov model for the signal of U.S. recessions. The model uses the spread of interest rate between 10-year Treasury bond and 3-month Treasury bill, together with other financial indicators which ... -
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 ... -
Robust c-Optimal Design for Estimating the Edp
(North Dakota State University, 2014)Optimal design provides the most efficient design to study dose-response functions. It is often observed to adopt the four-parameter logistic model to describe the dose-response relationships in many dose finding trials. ... -
Robustness of the Eigenvalue Test for Community Structure
(North Dakota State University, 2021)Networks can take on many different forms, such as the people from the University you attend. Within these networks, community structure may exist. This "community structure" refers to the clustering of nodes by a common ... -
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 ... -
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 ... -
T-Optimal Designs for Model Discrimination in Probit Models
(North Dakota State University, 2014)When dose-response functions have a downturn, one interesting feature to study is the significance of the downturn. The interesting feature can be studied using model discrimination between two rival models (model describing ... -
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 ... -
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 ... -
Using Imputed Microrna Regulation Based on Weighted Ranked Expression and Putative Microrna Targets and Analysis of Variance to Select Micrornas for Predicting Prostate Cancer Recurrence
(North Dakota State University, 2014)Imputed microRNA regulation based on weighted ranked expression and putative microRNA targets (IMRE) is a method to predict microRNA regulation from genome-wide gene expression. A false discovery rate (FDR) for each microRNA ...