SELECTING THE MOST PROBABLE CATEGORY: THE R PACKAGE RS

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/11112

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DC Field	Value	Language
dc.contributor.advisor	Childs, Aaron	en_US
dc.contributor.advisor	Narayanaswamy Balakrishnan, Shui Feng	en_US
dc.contributor.advisor	Narayanaswamy Balakrishnan, Shui Feng	en_US
dc.contributor.author	Jin, Hong	en_US
dc.date.accessioned	2014-06-18T16:53:35Z	-
dc.date.available	2014-06-18T16:53:35Z	-
dc.date.created	2011-09-02	en_US
dc.date.issued	2011-10	en_US
dc.identifier.other	opendissertations/6106	en_US
dc.identifier.other	7133	en_US
dc.identifier.other	2215488	en_US
dc.identifier.uri	http://hdl.handle.net/11375/11112	-
dc.description.abstract	<p>Selecting the most probable multinomial or multivariate hypergeometric category isa multiple-decision selection problem. In this package, xed sampling and inversesampling are used for selecting the most probable category. This package aims atproviding functionality to calculate, display and plot the probabilities of correctlyselecting the most probable category under the least favorable configuration for thesetwo sampling types. A function for finding the specified smallest acceptable samplesize (or cell quota and expected sample size) is included as well.</p>	en_US
dc.subject	ranking and selection	en_US
dc.subject	Statistics and Probability	en_US
dc.subject	Statistics and Probability	en_US
dc.title	SELECTING THE MOST PROBABLE CATEGORY: THE R PACKAGE RS	en_US
dc.type	thesis	en_US
dc.contributor.department	Mathematics and Statistics	en_US
dc.description.degree	Master of Science (MSc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

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