Given an n dimensional random sample X from a population with density f(x, 0). Show that maximizing the likelihood L(0/x) is equivalent to maximizing In L(0/x).

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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Given an n dimensional random sample X from a population with density f(x, 0).
Show that maximizing the likelihood L(0/x) is equivalent to maximizing In L(0/x).
Transcribed Image Text:Given an n dimensional random sample X from a population with density f(x, 0). Show that maximizing the likelihood L(0/x) is equivalent to maximizing In L(0/x).
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