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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 ...
Prediction of the World Cup Soccer Winner: Using Two Statistical Methods
(North Dakota State University, 2016)
Soccer is considered the most popular sport on earth and applying statistical models to analyze small soccer data has been of a keen interest to modern researchers. Statistical modeling of soccer data also provides guidance ...
Information Asymmetry in Budget Allocation: An Analysis of the Truth-Inducing Incentive Scheme
(North Dakota State University, 2016)
Truth-inducing incentive schemes are used to motivate project managers to provide unbiased project information to portfolio manager to reduce information asymmetry between portfolio manager and project managers. To improve ...
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 ...
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 ...
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 ...