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Association Mapping of Agronomic Traits of Dry Beans Using Breeding Populations
(North Dakota State University, 2014)
Genome wide association mapping (GWAS) is an effective method to fine-map QTL because of its higher mapping resolution. In order to evaluate the possibility of using breeding populations for GWAS, analysis were conducted ...
Determining Optimum Seeding Rates for Diverse Hard Red Spring Wheat (Triticum Aestivum L.) Cultivars
(North Dakota State University, 2016)
Seeding rate for maximum grain yield can differ for diverse hard red spring wheat
(HRSW) (Triticum aestivum L.) cultivars and can be derived from a seeding rate response curve.
Six groups of HRSW cultivars with combinations ...
Stochastic Budgeting and Input Breakeven Analysis in North Dakota Potato Production
(North Dakota State University, 2017)
Enterprise budgets were developed for non-irrigated red and irrigated russet potato production, based on North Dakota model farms. Costs and revenues vary among producers, thus budgets are intended to serve as a template ...
Evaluation of a Systematic, Multichemical Program Approach for Wheat Pest Management and Evaluation of a New Fungicde for Tan Spot in Spring Wheat (Triticum Aestivum. L.)
(North Dakota State University, 2013)
Experiments were conducted to evaluate Proceed Plus (prothioconazole & tebuconazole & metalaxyl & clothianidin), bixafen, Prosaro (prothioconazole & tebuconazole), Baythroid XL (beta-cyfluthrin), with ‘Glenn’ and ‘Oklee’ ...
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 ...
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 ...
Empirical Comparison of Statistical Tests of Dense Subgraph in Network Data
(North Dakota State University, 2020)
Network analysis is useful in modeling the structures of different phenomena. A fundamental question in the analysis of network data is whether a network contains community structure. One type of community structure of ...
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 ...