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Browsing K-State Electronic Theses, Dissertations, and Reports: 2004 - by Subject

Browsing K-State Electronic Theses, Dissertations, and Reports: 2004 - by Subject "Statistics (0463)"

Now showing items 1-20 of 117

Using statistical learning to predict survival of passengers on the RMS Titanic

Whitley, Michael Aaron (Kansas State University, )

When exploring data, predictive analytics techniques have proven to be effective. In this report, the efficiency of several predictive analytics methods are explored. During the time of this study, Kaggle.com, a data ...
Late gestation lysine and energy effects in sows and dose-responses to tryptophan and valine in finishing pigs

Gonçalves, Márcio Antônio Dornelles (Kansas State University, )

The overall goal of this dissertation was to evaluate the effects of different amino acid (AA) levels on performance of pigs under commercial conditions. To reach this objective, a total of 12 experiments were conducted. ...
Effects of vitamin D supplementation and floor space on pig performance

Flohr, Joshua Richard (Kansas State University, )

Three experiments using 2,385 pre-weaned pigs, growing pigs, and sows were performed in addition to a meta-analysis and industry survey. Experiment 1 tested the effects of sow vitamin D supplementation from vitamin D₃ (low, ...
Exploring network models under sampling

Zhou, Shu (Kansas State University, )

Networks are defined as sets of items and their connections. Interconnected items are represented by mathematical abstractions called vertices (or nodes), and the links connecting pairs of vertices are known as edges. ...
The application and interpretation of the two-parameter item response model in the context of replicated preference testing

Button, Zach (Kansas State University, )

Preference testing is a popular method of determining consumer preferences for a variety of products in areas such as sensory analysis, animal welfare, and pharmacology. However, many prominent models for this type of ...
Inferential considerations for low-count RNA-seq transcripts: a case study on an edaphic subspecies of dominant prairie grass Andropogon gerardii

Raithel, Seth (Kansas State University, 2015-06-05)

Big bluestem (Andropogon gerardii) is a wide-ranging dominant prairie grass of ecological and agricultural importance to the US Midwest while edaphic subspecies sand bluestem (A. gerardii ssp. Hallii) grows exclusively on ...
A statistical investigation into noninferiority testing for two binomial proportions

Bloedow, Nicholas (Kansas State University, 2014-12-17)

In clinical research, noninferiority trials are becoming an important tool for investigating whether a new treatment is useful. The outcome measured can be either continuous (e.g. blood pressure level), time-to-event (e.g. ...
Robust mixtures of regression models

Bai, Xiuqin (Kansas State University, 2014-11-18)

This proposal contains two projects that are related to robust mixture models. In the robust project, we propose a new robust mixture of regression models (Bai et al., 2012). The existing methods for tting mixture ...
A score test of homogeneity in generalized additive models for zero-inflated count data

Nian, Gaowei (Kansas State University, 2014-08-14)

Zero-Inflated Poisson (ZIP) models are often used to analyze the count data with excess zeros. In the ZIP model, the Poisson mean and the mixing weight are often assumed to depend on covariates through regression technique. ...
Estimation of an upper tolerance limit for small-samples containing observations below the limit of quantitation

Yan, Donglin (Kansas State University, 2014-08-11)

Chemicals and drugs applied to animals used in meat production often have the potential to cause adverse effects on human consumers. To ensure safety, a withdrawal period, i.e. the minimum time allowed between application ...
Modeling a frost index in Kansas, USA

Wang, Yang (Kansas State University, 2014-08-08)

A frost index is a calculated value that can be used to describe the state and the changes in the weather conditions. Frost indices affect not only natural and managed ecosystems, but also a variety of human activities. ...
Robust mixture modeling

Yu, Chun (Kansas State University, 2014-07-29)

Ordinary least-squares (OLS) estimators for a linear model are very sensitive to unusual values in the design space or outliers among y values. Even one single atypical value may have a large effect on the parameter ...
A study of covariance structure selection for split-plot designs analyzed using mixed models

Qiu, Chen (Kansas State University, 2014-07-22)

In the classic split-plot design where whole plots have a completely randomized design, the conventional analysis approach assumes a compound symmetry (CS) covariance structure for the errors of observation. However, often ...
Technology mediated communication in intimate relationships

Norton, Aaron Michael (Kansas State University, 2014-07-22)

Very little research has been conducted to understand how the technology revolution has changed and impacted couple relationships. The proposed study examined the impact of technology on couples in committed relationships ...
Robust fitting of mixture of factor analyzers using the trimmed likelihood estimator

Yang, Li (Kansas State University, 2014-07-21)

Mixtures of factor analyzers have been popularly used to cluster the high dimensional data. However, the traditional estimation method is based on the normality assumptions of random terms and thus is sensitive to outliers. ...
Nonparametric lack-of-fit tests in presence of heteroscedastic variances

Gharaibeh, Mohammed Mahmoud (Kansas State University, 2014-07-21)

It is essential to test the adequacy of a speciﬁed regression model in order to have cor- rect statistical inferences. In addition, ignoring the presence of heteroscedastic errors of regression models will lead to ...
Improving the performance of the prediction analysis of microarrays algorithm via different thresholding methods and heteroscedastic modeling

Sahtout, Mohammad Omar (Kansas State University, 2014-07-09)

This dissertation considers diﬀerent methods to improve the performance of the Prediction Analysis of Microarrays (PAM). PAM is a popular algorithm for high-dimensional classiﬁcation. However, it has a drawback of retaining ...
Using Markov chain to describe the progression of chronic disease

Davis, Sijia (Kansas State University, 2014-07-01)

A discrete-time Markov chain with stationary transition probabilities is often used for the purpose of investigating treatment programs and health care protocols for chronic disease. Suppose the patients of a certain chronic ...
Robust estimation of the number of components for mixtures of linear regression

Meng, Li (Kansas State University, 2014-06-17)

In this report, we investigate a robust estimation of the number of components in the mixture of regression models using trimmed information criterion. Compared to the traditional information criterion, the trimmed criterion ...
The impact of misspecification of nuisance parameters on test for homogeneity in zero-inflated Poisson model: a simulation study

Gao, Siyu (Kansas State University, 2014-05-30)

The zero-inflated Poisson (ZIP) model consists of a Poisson model and a degenerate distribution at zero. Under this model, zero counts are generated from two sources, representing a heterogeneity in the population. In ...