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

DOI10.1080/02664760600585535zbMath1118.62365OpenAlexW2078308648MaRDI QIDQ3592586

Sueli A. Mingoti, Chang Chung Yu Dorea

Publication date: 13 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760600585535

zbMATH Keywords

quadrat samplinggeneralized binomial distributionestimating the number of species

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Cites Work

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• A robust bayesian lower limit for the expected number of unobserved classes
• Posterior Moments of the Number of Species in a Finite Population and the Posterior Probability of Finding a New Species
• Statistical Analysis of Spatial Point Patterns by Means of Distance Methods
• Generalized binomial distributions
• A stepwise Bayesian estimator for the total number of distinct species in finite populations: Sampling by elements
• Bayesian estimator for the total number of distinct species when quadrat sampling is used
• Posterior Distribution of Percentiles: Bayes' Theorem for Sampling from a Population

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