Suppose the random variable, X, follows a Bernoulli distribution with parameter 0. The probability function of X is given by p(x; 0) = [ 0² (1-0) ¹- if x = 0, 1, 0 otherwise. Let X₁, X2, , X, be a random sample of size n from the population of X. Assume that the X's are independent and identically distributed with the same parameter. (a) Based on the joint probability function of the sample, state the likelihood function of the parameter. Discuss the difference between the joint probability function and the likelihood function. (b) Show that the sample mean is the maximum likelihood estimator (mle) of 0. (c) Find the method of moments estimator (mme) of 0.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Suppose the random variable, X, follows a Bernoulli distribution with parameter 0.
The probability function of X is given by
p(x; 0) =
0² (1-0)¹-² if x = 0, 1,
otherwise.
0
Let X₁, X2,, X₁ be a random sample of size n from the population of X. Assume
that the X's are independent and identically distributed with the same parameter.
(a) Based on the joint probability function of the sample, state the likelihood
function of the parameter. Discuss the difference between the joint probability
function and the likelihood function.
(b) Show that the sample mean is the maximum likelihood estimator (mle) of 0.
(c) Find the method of moments estimator (mme) of 0.
Transcribed Image Text:Suppose the random variable, X, follows a Bernoulli distribution with parameter 0. The probability function of X is given by p(x; 0) = 0² (1-0)¹-² if x = 0, 1, otherwise. 0 Let X₁, X2,, X₁ be a random sample of size n from the population of X. Assume that the X's are independent and identically distributed with the same parameter. (a) Based on the joint probability function of the sample, state the likelihood function of the parameter. Discuss the difference between the joint probability function and the likelihood function. (b) Show that the sample mean is the maximum likelihood estimator (mle) of 0. (c) Find the method of moments estimator (mme) of 0.
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