Let X1, X2,..., Xn " Bernoulli(p). (a) Find a one-dimensional sufficient statistic S for the Bernoulli distribution. (b) Find E[X(1–X1)] and then find an unbiased estimator of r(p) = p(1 – p) based on the expression in the expectation. (c) Find E[I{x1=1}]- (d) Find E[I{x1=1}|S].

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Let X1, X2,..., Xn
iid
Bernoulli(p).
(a) Find a one-dimensional sufficient statistic S for the Bernoulli distribution.
(b) Find E[X(1-X1)] and then find an unbiased estimator of r(p) = p(1- p) based on the
expression in the expectation.
(c) Find E[I{x;=1}l.
(d) Find E[I{x,=1}|S].
Transcribed Image Text:Let X1, X2,..., Xn iid Bernoulli(p). (a) Find a one-dimensional sufficient statistic S for the Bernoulli distribution. (b) Find E[X(1-X1)] and then find an unbiased estimator of r(p) = p(1- p) based on the expression in the expectation. (c) Find E[I{x;=1}l. (d) Find E[I{x,=1}|S].
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