Brian R. Gray

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SUMMARY We propose a Bayes procedure for esitmating categorical abundance using data that are observed with error from a random sample from a finite population. The procedure is designed to estimate the proportion of sites in a finite population that belong to each abundance category. Royle and Link (2005) proposed a multinomial mixture model to analyze(More)
Ecologists commonly use grouped or clustered count data to estimate temporal trends in counts, abundance indices, or abundance. For example, the U.S. Breeding Bird Survey data represent multiple counts of birds from within each of multiple, spatially defined routes. Despite a reliance on grouped counts, analytical methods for prospectively estimating(More)
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