A beta-binomial model for estimating the size of a heterogeneous population

Paul S.F. Yip, X. I. Liqun, Richard Arnold, Y. U. Hayakawa

研究成果: Article

1 被引用数 (Scopus)

抄録

This paper compares the properties of various estimators for a beta-binomial model for estimating the size of a heterogeneous population. It is found that maximum likelihood and conditional maximum likelihood estimators perform well for a large population with a large capture proportion. The jackknife and the sample coverage estimators are biased for low capture probabilities. The performance of the martingale estimator is satisfactory, but it requires full capture histories. The Gibbs sampler and Metropolis-Hastings algorithm provide reasonable posterior estimates for informative priors.

本文言語English
ページ(範囲)299-308
ページ数10
ジャーナルAustralian and New Zealand Journal of Statistics
47
3
DOI
出版ステータスPublished - 2005 9 1
外部発表はい

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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