Bayesian Sequential Tests for Comparing the Number of Species in Two Populations

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/18188

DC Field	Value	Language
dc.creator	Yue, Jack C. ;Clayton	en_US
dc.creator	余清祥	-
dc.date	1996-05	en_US
dc.date.accessioned	2008-12-19T06:54:03Z	-
dc.date.available	2008-12-19T06:54:03Z	-
dc.date.issued	2008-12-19T06:54:03Z	-
dc.identifier.uri	https://nccur.lib.nccu.edu.tw/handle/140.119/18188	-
dc.description.abstract	We study a problem of scquentially comparing the number of species in two populations. We consider a sequential Bayesian approach which incorporates a sampling cost and a misclassification loss, and examine optimal and sub-optimal stopping rules. The optimal stopping rule is shown to be truncated when the prior distribution of the number of species is bounded. or when the prior is unbounded and satisfies certain conditions.	-
dc.format	application/	en_US
dc.language	en	en_US
dc.language	en-US	en_US
dc.language.iso	en_US	-
dc.relation	Sequential Analysis, 15(2&3), 185-210	en_US
dc.subject	Sampling species ; species diversity ; Number of species ; Sequential sampling ; Bayesian decision making ; Optimal stopping rule ; Group sampling	-
dc.title	Bayesian Sequential Tests for Comparing the Number of Species in Two Populations	en_US
dc.type	article	en
dc.identifier.doi	10.1080/07474946608836359	en_US
dc.doi.uri	http://dx.doi.org/10.1080/07474946608836359	en_US
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.openairetype	article	-
item.grantfulltext	open	-
item.cerifentitytype	Publications	-
item.languageiso639-1	en_US	-
item.fulltext	With Fulltext	-
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