7.5.11. Let X₁, X₂,..., Xn, n > 2, be a random sample from the binomial distri- bution b(1,0). 440 (a) Show that Y₁ = X₁ + X₂ + + Xn is a complete sufficient statistic for 0. ... Sufficiency (b) Find the function (Y₁) that is the MVUE of 0. (c) Let Y₂ = (X₁ + X₂)/2 and compute E(Y₂).
7.5.11. Let X₁, X₂,..., Xn, n > 2, be a random sample from the binomial distri- bution b(1,0). 440 (a) Show that Y₁ = X₁ + X₂ + + Xn is a complete sufficient statistic for 0. ... Sufficiency (b) Find the function (Y₁) that is the MVUE of 0. (c) Let Y₂ = (X₁ + X₂)/2 and compute E(Y₂).
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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![**Statistical Sufficiency and Estimation**
**Problem 7.5.11**
Let \( X_1, X_2, \ldots, X_n \), where \( n > 2 \), be a random sample from the binomial distribution \( b(1, \theta) \).
**Tasks:**
(a) Show that \( Y_1 = X_1 + X_2 + \cdots + X_n \) is a complete sufficient statistic for \( \theta \).
(b) Find the function \( \varphi(Y_1) \) that is the MVUE (Minimum Variance Unbiased Estimator) of \( \theta \).
(c) Let \( Y_2 = (X_1 + X_2)/2 \) and compute \( E(Y_2) \).
(d) Determine \( E(Y_2 | Y_1 = y_1) \).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F32f77ee0-291c-46d0-b315-80fb2fd096d8%2F3c259592-465a-4212-b017-0ef8134f5759%2F4xru2em_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Statistical Sufficiency and Estimation**
**Problem 7.5.11**
Let \( X_1, X_2, \ldots, X_n \), where \( n > 2 \), be a random sample from the binomial distribution \( b(1, \theta) \).
**Tasks:**
(a) Show that \( Y_1 = X_1 + X_2 + \cdots + X_n \) is a complete sufficient statistic for \( \theta \).
(b) Find the function \( \varphi(Y_1) \) that is the MVUE (Minimum Variance Unbiased Estimator) of \( \theta \).
(c) Let \( Y_2 = (X_1 + X_2)/2 \) and compute \( E(Y_2) \).
(d) Determine \( E(Y_2 | Y_1 = y_1) \).
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