Let x ~ B(n, ) and y ~ B(n, p) have independent binomial distributions of the same
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Let x ~ B(n, π) and y ~ B(n, p) have independent binomial distributions of the same index but possibly different parameters. Find the Bayes rule corresponding to the loss
when the priors for π and p are independent uniform distributions.
Transcribed Image Text:
L((π, p), a) = (π – р - а)² -
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