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    National Tsing Hua University Institutional Repository > 理學院 > 統計學研究所 > 期刊論文 >  Estimating the number of species in a Stochastic abundance model


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/54099


    Title: Estimating the number of species in a Stochastic abundance model
    Authors: Chao A;Bunge J
    教師: 趙蓮菊
    Date: 2002
    Publisher: Wiley-Blackwell
    Relation: BIOMETRICS,Volume: 58,Issue: 3,Pages: 531-539,Published: SEP 2002
    Keywords: POPULATION-SIZE
    HETEROGENEITY
    RICHNESS
    RATES
    Abstract: Consider a stochastic abundance model in which the species arrive in the sample according to independent Poisson processes, where the abundance parameters of the processes follow a gamma distribution. We propose a new estimator of the number of species for this model. The estimator takes the form of the number of duplicated species (i.e., species represented by two or more individuals) divided by an estimated duplication fraction. The duplication fraction is estimated from all frequencies including singleton information. The new estimator is closely related to the sample coverage estimator presented by Chao and Lee (1992; Journal of the American Statistical Association 87, 210-217). We illustrate the procedure using the Malayan butterfly data discussed by Fisher, Corbet, and Williams (1943, Journal of Animal Ecology 12, 42-58) and a 1989 Christmas Bird Count dataset collected in Florida, U.S.A. Simulation studies show that this estimator compares well with maximum likelihood estimators (i.e., empirical Bayes estimators from the Bayesian viewpoint) for which an iterative numerical procedure is needed and may be infeasible.
    URI: http://www.jstor.org/pss/3068576
    http://as.wiley.com/WileyCDA/Brand/id-35.html
    http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/54099
    Appears in Collections:[統計學研究所] 期刊論文

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