Question 2 Let X1,..., X, be an independent and identically distributed sequence of random variables from a population in {g, | p€ (0, 1]}, where 9p(z) = p*(1 – p)!-, z€ {0, 1}. You may use that E„(X1) = p and Var,(X1) = p(1 – p). a. Show that the ML estimator pML of po is equal to the sample average X. b. Show that the mean squared error (MSE) of PML is equal to E-p). c. Find a sufficient and complete statistic for po- d. Find the UMVU estimator of po-

A First Course in Probability (10th Edition)
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ISBN:9780134753119
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Chapter1: Combinatorial Analysis
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urgenly need Part A Solution.

Let X1,..., X,, be an independent and identically distributed
Question 2
sequence of random variables from a population in (9, |pe (0, 1]}, where
9p(x) = p*(1 – p)-,
r€ {0, 1}.
You may use that E,(X1) = p and Var,(X1) = p(1 – p).
a. Show that the ML estimator PML of po is equal to the sample average X.
b. Show that the mean squared error (MSE) of PML is equal to P-p).
c. Find a sufficient and complete statistic for pg.
d. Find the UMVU estimator of po-
Transcribed Image Text:Let X1,..., X,, be an independent and identically distributed Question 2 sequence of random variables from a population in (9, |pe (0, 1]}, where 9p(x) = p*(1 – p)-, r€ {0, 1}. You may use that E,(X1) = p and Var,(X1) = p(1 – p). a. Show that the ML estimator PML of po is equal to the sample average X. b. Show that the mean squared error (MSE) of PML is equal to P-p). c. Find a sufficient and complete statistic for pg. d. Find the UMVU estimator of po-
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