Browsing by Subject "Bootstrap"
Now showing items 1-8 of 8
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(2012-07-16)The small-sample size issue is a prevalent problem in Genomics and Proteomics today. Bootstrap, a resampling method which aims at increasing the efficiency of data usage, is considered to be an effort to overcome the problem ...
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(2014-11-19)Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their compute-intensive nature, which typically require a large number of iterations and a ...
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(Texas A&M University, 2006-08-16)High Dimension, Low Sample Size (HDLSS) problems have received much attention recently in many areas of science. Analysis of microarray experiments is one such area. Numerous studies are on-going to investigate the behavior ...
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(2011-10-21)In recent years, there has been a surge of research interest in the analysis of time series and spatial data. While on one hand more and more sophisticated models are being developed, on the other hand the resulting theory ...
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(2011-10-21)Wireless sensor networks (WSNs) have received huge attention during the recent years due to their applications in a large number of areas such as environmental monitoring, health and traffic monitoring, surveillance and ...
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Standardized Mean Differences for Complex Multilevel Models: Parametric and Nonparametric Estimation (2015-06-02)This dissertation comprises three separate but interrelated manuscripts exploring methods for estimating the standardized mean difference effect size with several complex multilevel data structures. Multilevel modeling ...
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(2018-07-27)In this dissertation, I address unorthodox statistical problems concerning goodness-of-fit tests in the latent variable context and efficient statistical computations. In epidemiological and biomedical studies observations ...
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(Texas A&M University, 2005-02-17)Often in statistics it is of interest to investigate whether or not a trend is significant. Methods for testing such a trend depend on the assumptions of the error terms such as whether the distribution is known and ...