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Bayesian sequential tests for comparing the number of species in two populations

 

作者: Jack C. Yue,   Murray K. Clayton,  

 

期刊: Sequential Analysis  （Taylor Available online 1996）
卷期: Volume 15, issue 2-3  

页码: 185-210

 

ISSN:0747-4946

 

年代: 1996

 

DOI:10.1080/07474946608836359

 

出版商: Marcel Dekker, Inc.

 

关键词: Sampling species;species diversity;Number of species;Sequential sampling;Bayesian decision making;Optimal stopping rule;Group sampling

 

数据来源: Taylor

 

摘要:

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.

 

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