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.nccu.edu.tw/handle/140.119/18188

Title:	Bayesian Sequential Tests for Comparing the Number of Species in Two Populations
Authors:	Yue, Jack C.;Clayton 余清祥
Keywords:	Sampling species;species diversity;Number of species;Sequential sampling;Bayesian decision making;Optimal stopping rule;Group sampling
Date:	1996-05
Issue Date:	2008-12-19 14:54:03 (UTC+8)
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.
Relation:	Sequential Analysis, 15(2&3), 185-210
Data Type:	article
DOI link:	http://dx.doi.org/10.1080/07474946608836359
Appears in Collections:	[Department of Statistics] Periodical Articles

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