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- W2091235516 abstract "Abstract Let X be binomial (n, p), with n known. Suppose we wish to test H: P = against K: p ≠ . 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." @default.
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- W2091235516 date "1974-09-01" @default.
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- W2091235516 title "Choosing a Prior for a Binomial Testing Problem with Incomplete Knowledge" @default.
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- W2091235516 doi "https://doi.org/10.1080/01621459.1974.10480198" @default.
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