Given a random sample X1, , Xn from a population with pdf f(x ), show that maximizing the likelihood function, L( x), as a function of is equivalent to maximizing log L( x) ...

To conclude I can say that the log function ...

Given a random sample X1,..., Xn from a population with pdf f(x|), show that maximizing the likelihood

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Given a random sample X1,..., Xn from a population with pdf f(x|θ), show that maximizing the likelihood function, L(θ|x), as a function of θ is equivalent to maximizing log L(θ|x).

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Statistical Inference

ISBN: 978-0534243128

2nd edition

Authors: George Casella, Roger L. Berger

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Question Posted: May 26, 2016 05:25 AM

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Given a random sample X1,..., Xn from a population with pdf f(x|), show that maximizing the likelihood

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Statistical Inference

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