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

Author: Mingoti S. A.

Source: Journal of Applied Statistics, Volume 26, Number 4, 1 May 1999 , pp. 469-483(15)

Publisher: Routledge, part of the Taylor & Francis Group

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Abstract:

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.

Language: English

Document Type: Research article

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