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Patterns and causes of species richness: a general simulation model for macroecology.
Gotelli NJ, Anderson MJ, Arita HT, Chao A, Colwell RK, Connolly SR, Currie DJ, Dunn RR, Graves GR, Green JL, Grytnes JA, Jiang YH, Jetz W, Kathleen Lyons S, McCain CM, Magurran AE, Rahbek C, Rangel TF, Soberón J, Webb CO, Willig MR. Gotelli NJ, et al. Among authors: chao a. Ecol Lett. 2009 Sep;12(9):873-86. doi: 10.1111/j.1461-0248.2009.01353.x. Ecol Lett. 2009. PMID: 19702748
An improved nonparametric lower bound of species richness via a modified good-turing frequency formula.
Chiu CH, Wang YT, Walther BA, Chao A. Chiu CH, et al. Among authors: chao a. Biometrics. 2014 Sep;70(3):671-82. doi: 10.1111/biom.12200. Epub 2014 Jun 19. Biometrics. 2014. PMID: 24945937
Applying a modified Good-Turing frequency formula, we derive an approximate formula for the first-order bias of this traditional lower bound. ...The proposed lower bound is nonparametric in the sense that it is universally valid for any species abundance distribution. A
Applying a modified Good-Turing frequency formula, we derive an approximate formula for the first-order bias of this traditional lowe …
Estimating the number of species in a stochastic abundance model.
Chao A, Bunge J. Chao A, et al. Biometrics. 2002 Sep;58(3):531-9. doi: 10.1111/j.0006-341x.2002.00531.x. Biometrics. 2002. PMID: 12229987
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 illustrate the procedure using the Malayan butterfly data d …
Consider a stochastic abundance model in which the species arrive in the sample according to independent Poisson processes, where the …
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