Browsing Statistics by Issue Date
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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 ... -
Model Validation and Diagnostis in Right Censored Regression
(North Dakota State University, 2013)When censored data are present in the linear regression setting, the Expectation-Maximization (EM) algorithm and the Buckley and James (BJ) method are two algorithms that can be implemented to fit the regression model. We ... -
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 ... -
Proposed Nonparametric Tests for the Simple Tree Alternative in a Mixed Design
(North Dakota State University, 2014)For the general alternative, many test statistics exist for the dependent and independent variables. However, no documented test statistics exist for simple tree alternative for the dependent variables, independent ... -
Comparison of Classification Rates among Logistic Regression, Neural Network and Support Vector Machines in the Presence of Missing Data
(North Dakota State University, 2014)Statistical models such as Logistic Regression (LR), Neural Network (NN) and Support Vector Machines (SVM) often use datasets with missing values while making inferences regarding the population. When inferences are made ... -
Two Approaches to the Isotonic Change-Point Problem: Nonparametric and Minimax
(North Dakota State University, 2014)A change in model parameters over time often characterizes major events. Situations in which this may arise include observing increasing temperatures, intense rainfall, and the valuation of a stock. The question is whether ... -
An Application of Simplicial Intercept Depth (SID) Method for Fitting Linear Models
(North Dakota State University, 2014)This paper presents an application based on the Simplicial Intercept Depth method introduced by Liu (2004). We use this method to get the best linear fit of the phenotypic data for spot blotch resistant reaction of two ... -
Ds-Optimal Design for Model Discrimination in a Probit Model
(North Dakota State University, 2014)In toxicology studies, dose response functions with a downturn at higher doses are often observed. For such response functions, researchers often want to see if the downturn of the response is signifcant. A probit model ... -
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 ... -
Proposed Nonparametric Tests for the Simple Tree Alternative in a Mixed Design
(North Dakota State University, 2014)Video summarizing Ph.D. dissertation for a non-specialist audience. -
Nonparametric Tests for the Non-Decreasing and Alternative Hypotheses for the Incomplete Block and Completely Randomized Mixed Design
(North Dakota State University, 2014)This research study proposes a solution to deal with missing observations which is a common problem in real world datasets. A nonparametric approach is used because of its ease of use relative to the parametric approach ... -
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. ... -
Estimating Return on Initial Public Offering Using Mixtures of Regressions
(North Dakota State University, 2015)Financial advisors working in a stock exchange market are often faced with a situation to convince a client of merits of investing in a company that just entered the market. To predict company's return based on its revenue, ... -
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 ...