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MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Note:Please don't mark this question as complex or any other mark  because I asked last part only..Thanks in advance.

Maximum likelihood estimator: Let {X;}1 be n i.i.d. random variables with density fe with respect to
the Lebesgue measure. For each case below, find the MLE of 0.
fo(x) = V0xV®_1I (0< r < 1), 0 > 0
fo(x) =
I (r> 0), 0 > 0
202
exp
fo(x) = 0T¤T-1 exp(-0x")I(x > 0), 0 > 0, where T >0 is a known constant
Transcribed Image Text:Maximum likelihood estimator: Let {X;}1 be n i.i.d. random variables with density fe with respect to the Lebesgue measure. For each case below, find the MLE of 0. fo(x) = V0xV®_1I (0< r < 1), 0 > 0 fo(x) = I (r> 0), 0 > 0 202 exp fo(x) = 0T¤T-1 exp(-0x")I(x > 0), 0 > 0, where T >0 is a known constant
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