Bayesian estimator for the total number of distinct species when quadrat sampling is used

Bayesian estimator for the total number of distinct species when quadrat sampling is used

A Bayesian estimator for the total number of distinct species present in the region of investigation is constructed when the quadrat sampling procedure is used to collect a sample of species. The estimator is based on a model similar to that used by Mingoti and Meeden, and uses as a special case the...

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Veröffentlicht in:Journal of applied statistics 1999-05, Vol.26 (4), p.469-483
1. Verfasser: Mingoti, Sueli A.
Format: Artikel
Sprache:eng
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Bayesian analysis
Binomial distribution
Confidence intervals
Statistics
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description A Bayesian estimator for the total number of distinct species present in the region of investigation is constructed when the quadrat sampling procedure is used to collect a sample of species. The estimator is based on a model similar to that used by Mingoti and Meeden, and uses as a special case the zero truncated negative binomial distribution as a prior distribution for the true number S of distinct species in the region. Confidence intervals are also obtained. Simple comparisons with the first-order jackknife estimator and the empirical Bayesian estimator are performed.
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source RePEc; Business Source Complete; Taylor & Francis:Master (3349 titles)
subjects Bayesian analysis
Binomial distribution
Confidence intervals
Statistics
title Bayesian estimator for the total number of distinct species when quadrat sampling is used
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