Mathematical Statistics with Applications
Mathematical Statistics with Applications
7th Edition
ISBN: 9780495110811
Author: Dennis Wackerly, William Mendenhall, Richard L. Scheaffer
Publisher: Cengage Learning
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Chapter 16.2, Problem 6E

Suppose that Y is a binomial random variable based on n trials and success probability p (this is the case for the virulent-disease example in Section 16.1). Use the conjugate beta prior with parameters α and β to derive the posterior distribution of p | y. Compare this posterior with that found in Example 16.1.

EXAMPLE 16.1 Let Y1, Y2, …, Yn denote a random sample from a Bernoulli distribution where P(Yi = 1) = p and P(Yi = 0) = 1 − p and assume that the prior distribution for p is beta (α, β). Find the posterior distribution for p.

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