Models of relative abundance distributions. Pt. 1. Model fitting by stochastic models
2001
Ulrich, W. (Nicholad Copernicus University, Torun (Poland). Dep. of Animal Ecology)
The present paper studies possibilities to discriminate between 9 models of stochastic relative abundance distributions (RADs), develops a new test statistic for fitting based on least square distances and tests the applicability of methods described so far. The paper identifies three basic shapes of RADs termed power fraction, random assortment and Zipf-Mandelbrot type shape. It is shown that even a correct identyfication of the shape of a given data requires that this data set is replicated more than 10 times
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