Suppose that a sequence of mutually independent and identically distributed discrete random variables X₁, X₂, X3,..., Xn has the following probability density function f(x; 0) = 0xe-0 x! 0, for x = 0,1,2,... elsewhere Show that a statistic S₁, in a) is the maximum likelihood estimator of the parameter 0.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Suppose that a sequence of mutually independent and identically distributed discrete random
variables X₁, X₂, X3, ..., Xn has the following probability density function
f(x; 0)
0xe
x!
0,
J
for x = 0,1,2,...
elsewhere
Show that a statistic S, in a) is the maximum likelihood estimator of the parameter 0.
Transcribed Image Text:Suppose that a sequence of mutually independent and identically distributed discrete random variables X₁, X₂, X3, ..., Xn has the following probability density function f(x; 0) 0xe x! 0, J for x = 0,1,2,... elsewhere Show that a statistic S, in a) is the maximum likelihood estimator of the parameter 0.
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