Parametric Empirical Bayes Methods for Ecological Applications
作者： Jay M. Ver Hoef
DOI: 10.2307/2269589
关键词:
摘要: This paper reviews parametric empirical Bayes (PEB) methods and their application to ecological data. One of the main objections Bayesian statistics is subjectivity caused by specifying parameters. Attempting remove that subjectivity, PEB philosophy uses mathematical framework, but then estimates, rather than specifies, all unknown Three examples are given illustrate methods. The first a analysis for monitoring yearly population harbor seals, second simulated data shows how combines single capture-recapture third method spatial patch from transect through grassland vegetation. From examples, general methodology explained. See full-text article at JSTOR
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