ESTIMATING THE NUMBER OF SPECIES WITH MULTIPLE INCIDENCE-BASED SUBSAMPLES
作者： Chang Xuan Mao
DOI:
关键词: Mathematics 、 Algebraic number 、 Upper and lower bounds 、 Confidence interval 、 Odds 、 Statistics 、 Estimator 、 Standard error 、 Econometrics 、 Multivariate statistics 、 Mixture model
摘要: Estimating the number of species from multiple incidence-based subsam- ples is great importance in ecological and environmental sciences. The problem investigated a mixture model multivariate binomial densities. A sequence algebraic lower bounds to odds that unseen survey pro- posed. bound leads an estimator for species. nonparametric bootstrap method can be used compute confidence limits. asymptotic standard error first order provided. An example simulation experiment carried out assess proposed estimators.
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