Abstract
The Libby-Novick class of three-parameter generalized beta distributions is shown to provide a rich class of prior distributions for the binomial model that removes some of the restrictions of the standard beta class. The posterior distribution defines a new class of four-parameter generalized beta distributions for which numerical posterior analysis is easily done. A numerical example indicates the desirability of using these wider classes of densities for binomial models, particularly in an interactive computing environment.
Publisher
American Educational Research Association (AERA)
Subject
Linguistics and Language,Anthropology,History,Language and Linguistics,Cultural Studies
Cited by
34 articles.
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