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A likelihood ratio test for equality of deviations from randomness
Authors:D. L. Johnson and A. J. Petkau
Affiliation:(1) Agriculture and Agri-Food Canada Research Centre, P.O. Box 3000, T1J 4B1 Lethbridge, AB, Canada;(2) Department of Statistics, The University of British Columbia, V6T 1Z2 Vancouver, BC, Canada
Abstract:The use of the sample variance-to-mean ratio as a measure of deviation from randomness in spatial pattern is reviewed. The likelihood ratio method of constructing a statistical test for the equality of several population variance-to-mean ratios is described, and details are provided for the special case where counts are modelled as arising from a negative binomial distribution. This test is illustrated by application to example data sets in ecology. Likelihood ratio tests represent a general methodology whereby relationships among several indices of aggregation can be systematically investigated, provided one is able to specify a suitable parametric form for the underlying distributions.
Keywords:variance-to-mean ratios  deviations from randomness  spatial pattern and counts  Poisson  negative binomial
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