JSM 2003 Online Program

Abstract #301469

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Activity Number:	440
Type:	Contributed
Date/Time:	Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistics & the Environment
Abstract - #301469
Title:	Species Discovery Sampling and Species Abundance Models
Author(s):	Woollcott K. Smith*+ and Ying Zhang
Companies:	Temple University and Temple University
Address:	213B Elm Ave., Swarthmore, PA, 19081,
Keywords:	diversity ; discovery ; cluster sampling ; mixtures
Abstract:	Mixtures of multinomial models, such as the generalized beta binomial and the Ewens sampling models, are used to investigate cluster sampling designs to optimize species discovery in heterogeneous environments. The sampling design problem is, subject to cost constraints, to find the optimum number of clusters and units within a cluster to maximize the number of species encountered. The results are applied to the design of environmental surveys and exploration of genetic diversity.

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