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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 ...
Identifying Significant Factors Influencing Metabolic Syndrome In China
(North Dakota State University, 2015)
Metabolic Syndrome occurs when a person’s body does not properly use and store energy. The disease has five criteria: abdominal obesity, insulin resistance, hypertension, dyslipidemia, and impaired glucose regulation. The ...
Boundary Estimation
(North Dakota State University, 2015)
The existing statistical methods do not provide a satisfactory solution to determining the
spatial pattern in spatially referenced data, which is often required by research in many areas
including geology, agriculture, ...
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 ...
Where do the Differences Lie?: An Analysis of Distance Road Running Populations
(North Dakota State University, 2015)
Recently, much research has been focused on the gap in performance between male and female runners. Our research is focused on examining the gap between these two running populations in depth to determine where the specific ...
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 ...
Robust D-Optimal Design for Multiple Nominal Parameter Values under the 5PL-1P Model
(North Dakota State University, 2018)
A robust D-optimal design that works well for multiple nominal parameter values is presented in this paper. In general, D-optimal design works very well for estimating the model parameters, but it is very sensitive to ...
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 ...
Forecasting Point Spread for Women’s Volleyball
(North Dakota State University, 2016)
Volleyball has become a well-known and competitive sport with physical and technical performances over the years. The game results are determined by some important factors such as players, and the team’s skills to succeed ...
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.