Testing Hypotheses about Occupancy Rates for Clustered Populations

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Abstract

The use of the Pearson chi-square statistic for testing hypotheses on biological populations is not appropriate when the individuals are distributed by clusters. In the case where the clusters are distributed independently of each other, we propose an asymptotically chi-square distributed test statistic taking into account the cluster size distribution. An example provided by European Corn Borer eggs data is used to illustrate the test procedure.

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