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Taking log on both sides we get, In (L(a = 2, B)) =-2n·In (B)+ In Ex, Now partially differentiating on both sides with respect to B and equating to zero we get, 8 In (L(a = 2, B)) SB 2n = 0 2n 2 Comment Step 5 of 5 A Hence the maximum likelihood estimator of ß is 2

Taking log on both sides we get, In (L(a = 2, B)) =-2n·In (B)+ In Ex, Now partially differentiating on both sides with respect to B and equating to zero we get, 8 In (L(a = 2, B)) SB 2n = 0 2n 2 Comment Step 5 of 5 A Hence the maximum likelihood estimator of ß is 2

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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Taking log on both sides we get, Σ In (L(a = 2, B)) =-2n·In(B)+ In Ex, Now partially differentiating on both sides with respect to ß and equating to zero we get, 8 In (L(a = 2, ß)) SB Ex, 2n = 0 2n 2 Comment Step 5 of 5 A Hence the maximum likelihood estimator of ß is
Transcribed Image Text:Taking log on both sides we get, Σ In (L(a = 2, B)) =-2n·In(B)+ In Ex, Now partially differentiating on both sides with respect to ß and equating to zero we get, 8 In (L(a = 2, ß)) SB Ex, 2n = 0 2n 2 Comment Step 5 of 5 A Hence the maximum likelihood estimator of ß is
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