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

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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.

Document Type: Research Article

DOI: https://doi.org/10.1080/02664769922359

Publication date: 1999-05-01

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