Choosing a prior for a binomial testing problem with incomplete knowledge

Glen Meeden

Research output: Contribution to journalArticlepeer-review


Let X be binomial (n, p), with n known. Suppose we wish to test H: (Equation presented) against K: (Equation presented). We consider the problem of choosing a prior distribution for p. Using a theory which introduces certain ideas of the Neyman-Pearson approach to Bayesian testing, it is shown that one need not specify a prior exactly, but only an equivalence class of priors. The equivalence class of the uniform prior over K allows us to specify certain situations involving only partial knowledge about the parameter in which one can use the uniform as the appropriate prior. © 1974, Taylor & Francis Group, LLC.

Original languageEnglish
Pages (from-to)740-743
Number of pages4
JournalJournal of the American Statistical Association
Issue number347
StatePublished - 1974


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