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MLE is the maximum likelihood estimation

MLE is the maximum likelihood estimation

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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MLE is the maximum likelihood estimation

Let X1, X2. ***, Xn nd fe. where 0 > o and if 0 < x < 1, fØx) = otherwise. Find an unbiased estimator of e that is a function of the MLE of e. The following`answers" have been proposed. (a) The unbiased estimator is exp{; E-1Xi}• (b) The unbiased estimator is exp{;E÷1\n(X;)}. (c) The unbiased estimator is - E1In(X;). (d) The unbiased estimator is E, In(X;). n i=1 n (e) None of the above. The correct answer is (a) (b) (c) (d) (e) N/A (Select One)
Transcribed Image Text:Let X1, X2. ***, Xn nd fe. where 0 > o and if 0 < x < 1, fØx) = otherwise. Find an unbiased estimator of e that is a function of the MLE of e. The following`answers" have been proposed. (a) The unbiased estimator is exp{; E-1Xi}• (b) The unbiased estimator is exp{;E÷1\n(X;)}. (c) The unbiased estimator is - E1In(X;). (d) The unbiased estimator is E, In(X;). n i=1 n (e) None of the above. The correct answer is (a) (b) (c) (d) (e) N/A (Select One)
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