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Let X1, X2, ... , Xn denote a random sample from a Bernoulli distribution where P(xi) = 0*i(1 – 0)1-*; x; = 0, 1 and assume that the prior distribution for 0 is beta (a. B), Find the Baves estimator for 0(1 – 0).

Let X1, X2, ... , Xn denote a random sample from a Bernoulli distribution where P(xi) = 0*i(1 – 0)1-*; x; = 0, 1 and assume that the prior distribution for 0 is beta (a. B), Find the Baves estimator for 0(1 – 0).

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Let X1, X2, ...,Xn denote a random sample from a Bernoulli distribution where p(x;) = 0*i(1 – 0)1-*; x; = 0,1 and assume that the prior distribution for 0 is beta (a, B). Find the Bayes estimator for 0(1 – 0).
Transcribed Image Text:Let X1, X2, ...,Xn denote a random sample from a Bernoulli distribution where p(x;) = 0*i(1 – 0)1-*; x; = 0,1 and assume that the prior distribution for 0 is beta (a, B). Find the Bayes estimator for 0(1 – 0).
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