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This paper describes a parametric method for analyzing binary response data from completely randomized experiments in which the experimental units are animal litters. Responses within a litter are assumed to form a set of Bernoulli trials whose success probability varies between litters in the same treatment group according to a two parameter beta distribution. The parameters of the beta distribution for each treatment are estimated by maximum likelihood and treatment differences are tested by asymptotic likelihood ratio tests.
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David A. Williams (Mon,) studied this question.
synapsesocial.com/papers/6a0eb18ea14f152feaf9b70d — DOI: https://doi.org/10.2307/2529820
David A. Williams
Forest Institute
Biometrics
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