Simultaneous estimation of gamma means in the presence of a nuisance parameter
作者： Patricia A. Pepple
DOI: 10.1080/00949659308811502
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摘要: The problem of simultaneously estimating Gamma means is investigated when the parameters are believed a priori to be similar in size and shape parameter unknown. A hierarchical Bayes analysis performed sampling based approach called Gibbs utilized perform necessary calculations. This procedure then extended with unknown satisfy an r-dimensional generalized linear model. Examples given illustrate proposed methodology.
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