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Showing 1 to 6 of 6 for “"Sampling (Statistics)"”.
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Topics in Bayesian sample size determination and Bayesian model selection.
This dissertation contains three topics using the Bayesian paradigm for statistical inference. The first topic is related to Bayesian sample size determination with a misclassified prevalence variable when two possibly dependent diagnostic tests are used for estimation. After accounting for the …
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How negative sampling provides class balance to rare event case data using a vehicular accident prediction project as a use case scenario
… probability prediction, several methods of data sampling exist to remedy the main issue of rare event case data: a lack of data to collect and learn from. The most effective methods often involve altering the distribution of the training samples in a data set. The least utilized of these methods …
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Sample size determination for Emax model, equivalence / non-inferiority test and drug combination in fixed dose trials.
… of interest ED₅₀. In our simulation studies, sampling priors are used to generate the data, and non-informative priors are utilized to represent ignorance of key model parameters. Sample sizes for comparative studies are then discussed in Bayesian approach. In the absence of gold standard, …
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A Conic Quadratic Interior-Point Method for a Class of Stratified Sampling Problems
<p>The stratified sampling problem is a very important problem that arises in different applications and very often in statistics The purpose of this thesis is to numerically test two interior point methods on the stratified sampling problem. First, a homogeneous conic quadratic interior point …