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On Maximizing Missing Information About a Hypothesis

D. M. Eaves
Journal of the Royal Statistical Society. Series B (Methodological)
Vol. 47, No. 2 (1985), pp. 263-266
Published by: Wiley for the Royal Statistical Society
Stable URL: http://www.jstor.org/stable/2345568
Page Count: 4
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On Maximizing Missing Information About a Hypothesis
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Abstract

The Bayesian test of a normal mean H0:μ = μ0 is revisited. Several interpretations of prior indifference are contrasted; each employs a prior probability for H0 which in some sense maximizes the information-negative entropy-missing from the prior.

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