Simultaneous estimation of gamma means using a hierarchical generalized linear model
作者： Patricia A. Pepple
DOI: 10.1080/03610928908829937
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摘要: The problem of simultaneously estimating p Gamma means is investigated when the are believed a priori to satisfy an r-dimensional generalized linear model. Using Bayesian hierarchical model reflect uncertainty in model, approximate methods proposed compute posterior densities. resulting estimator shrinks usual toward prior where size shrinkage depends upon agreement observed data with
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