Strawberry inflorescences have a variable branching structure. This paper
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penalized likelihood, EM, Bayesian techniques, and simulated maximum likelihood. The
main methods are reviewed and compared for fitting binomial logistic generalized
linear mixed models to strawberry inflorescence data. Simulations matched to the
original data are used to show that a modified EM method due to Steele (1996) is
clearly the best, in terms of speed and mean-squared-error performance, for data of
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