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Now showing items 26931-26940 of 28674
Forecasting Batter Performance using Statcast Data in Major League Baseball
(North Dakota State University, 2017)
2015 saw the release of the Statcast camera system within Major League Baseball ballparks, which provided statisticians with new data to analyze. One statistic, average exit velocity, is of particular interest. We would ...
A Geostatistical Analysis of Housing Prices in Fargo
(North Dakota State University, 2017)
This study investigated housing prices by applying geostatistical regression techniques to identify the significant factors affecting residential housing sales prices in Fargo, North Dakota. The study used a subset of ...
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 ...
Linear Modeling of Election Results for U.S. House of Representatives Candidates and State Executive Offices for Iowa, Minnesota, and North Dakota
(North Dakota State University, 2020)
Better understanding the relationship between the results for the U.S. House of Representatives and for state executive offices could potentially be useful in predicting outcomes if a significant relationship is present ...
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 ...
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. ...
Adaptive Two-Stage Optimal Design for Estimating Multiple EDps under the 4-Parameter Logistic Model
(North Dakota State University, 2018)
In dose-finding studies, c-optimal designs provide the most efficient design to study an interesting target dose. However, there is no guarantee that a c-optimal design that works best for estimating one specific target ...
A Proposed Nonparametric Test for Simple Tree Alternative in a BIBD Design
(North Dakota State University, 2011)
A nonparametric test is proposed to test for the simple tree alternative in a Balanced Incomplete Block Design (BIBD). The details of the test statistic when the null hypothesis is true are given. The paper also introduces ...
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 ...
Analysis of Bootstrap Techniques for Loss Reserving
(North Dakota State University, 2015)
Insurance companies must have an appropriate method of estimating future reserve amounts. These values will directly influence the rates that are charged to the customer. This thesis analyzes stochastic reserving techniques ...