A BAYESIAN-ANALYSIS OF MULTIPLE-RECAPTURE SAMPLING FOR A CLOSED POPULATION
成果类型：
Article
署名作者：
CASTLEDINE, BJ
署名单位：
University of Leicester
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2335820
发表日期：
1981
页码：
197210
关键词：
摘要：
Inferences from a Bayesian viewpoint about the size of a closed animal [sunfish] population from data obtained by a multiple-recapture sampling scheme were considered. The method developed enables prior information about the population size and the catch probabilities to be utilized to produce improvements in certain cases on ordinary maximum likelihood methods. Several ways of expressing such prior information are explored and a practical example of the uses of these ways is given. The main result is an approximation to the posterior distribution of sample size that exhibits the contributions made by the likelihood and prior ideas.