Browsing Statistics Masters Theses by Issue Date
Now showing items 1-20 of 65
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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 ... -
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 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 ... -
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 ... -
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 ... -
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 ... -
Entropy as a Criterion for Variable Reduction in Cluster Data
(North Dakota State University, 2012)Entropy is a measure of the randomness of a system state. This quantity gives us a measure of uncertainty that is associated with each particular observation belonging to a specific cluster. We examine this property and ... -
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 ... -
An Analysis of Factors Contributing to Wins in the National Hockey League
(North Dakota State University, 2013)This thesis looks at common factors that have the largest impact on winning games in the NHL. Data was collected from regular season games for all teams in the NHL over seven seasons. Logistic and least squares regressions ... -
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 ... -
Examining Influential Factors and Predicting Outcomes in European Soccer Games
(North Dakota State University, 2013)Models are developed using least squares regression and logistic regression to predict outcomes of European soccer games based on four variables related to the past k games of each team playing with the following values ... -
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 ... -
Analysis of Significant Factors in Division I Men's College Basketball and Development of a Predictive Model
(North Dakota State University, 2013)While a number of statistics are collected during an NCAA Division I men’s college basketball game, it is potentially of interest to universities, coaches, players, and fans which of these variables are most significant ... -
Analysis of Salary for Major League Baseball Players
(North Dakota State University, 2014)This thesis examines the salary of Major League Baseball (MLB) players and whether players are paid based on their on-the-field performance. Each salary was examined on both the yearly production and the overall career ... -
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 ... -
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 ... -
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 ... -
Frost Depth Prediction
(North Dakota State University, 2014)The purpose of this research project is to develop a model that is able to accurately predict frost depth on a particular date, using available information. Frost depth prediction is useful in many applications in several ... -
Identification of Differentially Expressed Genes and Gene Sets Using a Modified Q-Value
(North Dakota State University, 2014)Gene expression technologies allow expression levels to be compared across treatments for thousands of genes simultaneously. Statistical methods exist for identifying differentially expressed (DE) genes and gene sets while ... -
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. ...