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Estimating the total number of distinct species using quadrat sampling and under-dependence structure

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  • Chang Dorea
  • Sueli Mingoti

Abstract

To estimate the total number of distinct species in a given region, Bayesian methods along with quadrat sampling procedures have been used by several authors. A key underlying assumption relies on the independence among the species. In this note, we analyse these estimates allowing a generalized binomial dependence between species.

Suggested Citation

  • Chang Dorea & Sueli Mingoti, 2006. "Estimating the total number of distinct species using quadrat sampling and under-dependence structure," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(5), pages 497-512.
    • Handle: RePEc:taf:japsta:v:33:y:2006:i:5:p:497-512
    DOI: 10.1080/02664760600585535
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    References listed on IDEAS

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    1. Sueli Mingoti, 2000. "A stepwise Bayesian estimator for the total number of distinct species in finite populations: Sampling by elements," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(5), pages 651-670.
    2. Sueli Mingoti, 1999. "Bayesian estimator for the total number of distinct species when quadrat sampling is used," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(4), pages 469-483.
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