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A random variable X₁,..., X comes from a uniform distribution population U(0,0) with unknown 0. The data are given to the right. Suppose the prior distribution has density given below. Determine the Bayes estimator under the absolute-error loss function. 0.11 1.16 1.67 1.75 0.94 0.52 2.16 0.34 1.22 0.19 1.58 1.18 0.74 0.01 0.49 1.01 0.48 1.03 0.83 0.99 1 0> 1, л(0) = 0, 0≤1. The Bayes estimator under the absolute-error loss function is (Round to two decimal places as needed.)

A random variable X₁,..., X comes from a uniform distribution population U(0,0) with unknown 0. The data are given to the right. Suppose the prior distribution has density given below. Determine the Bayes estimator under the absolute-error loss function. 0.11 1.16 1.67 1.75 0.94 0.52 2.16 0.34 1.22 0.19 1.58 1.18 0.74 0.01 0.49 1.01 0.48 1.03 0.83 0.99 1 0> 1, л(0) = 0, 0≤1. The Bayes estimator under the absolute-error loss function is (Round to two decimal places as needed.)

Calculus: Early Transcendentals
Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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A random variable X₁,..., X comes from a uniform distribution population U(0,0) with unknown 0. The data are given to the right. Suppose the prior distribution has density given below. Determine the Bayes estimator under the absolute-error loss function. 0.11 1.16 1.67 1.75 0.94 0.52 2.16 0.34 1.22 0.19 1.58 1.18 0.74 0.01 0.49 1.01 0.48 1.03 0.83 0.99 1 0> 1, л(0) = 0, 0≤1. The Bayes estimator under the absolute-error loss function is (Round to two decimal places as needed.)
Transcribed Image Text:A random variable X₁,..., X comes from a uniform distribution population U(0,0) with unknown 0. The data are given to the right. Suppose the prior distribution has density given below. Determine the Bayes estimator under the absolute-error loss function. 0.11 1.16 1.67 1.75 0.94 0.52 2.16 0.34 1.22 0.19 1.58 1.18 0.74 0.01 0.49 1.01 0.48 1.03 0.83 0.99 1 0> 1, л(0) = 0, 0≤1. The Bayes estimator under the absolute-error loss function is (Round to two decimal places as needed.)
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