We consider a simple model of frequency-dependent selection of food by predators. It has two parameters: b measures the frequency-dependent component of selection; V measures the frequency-independent component. If an experimenter obtains different parameter estimates under different conditions, he wishes to assess their significance. We give methods for testing the null hypotheses that both b and V are constant under various treatments, that b only is constant, and that V only is constant. We show how, should any of these hypotheses prove acceptable, revised parameter estimates may be obtained.
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Elton et al. (1987) studied this question.
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