Question

Consider a population X which follows a uniform distribution U(0, θ) with θ > 0, and let X1, X2, ..., Xn be a random sample of X. Let M = max{X1, X2, ..., Xn}, the maximum value observed in the sample. a) Use the fact that P(M ≤ t) = P(X1 ≤ t, X2 ≤ t, ..., Xn ≤ t) to determine the sampling distribution of M. b) It is shown that M is the maximum likelihood estimator of θ. Determine the root mean square error of this estimator as a function of θ and n.

          Consider a population X which follows a uniform distribution U(0, θ) with θ > 0, and let X1, X2, ..., Xn be a random sample of X. Let M = max{X1, X2, ..., Xn}, the maximum value observed in the sample.

a) Use the fact that P(M ≤ t) = P(X1 ≤ t, X2 ≤ t, ..., Xn ≤ t) to determine the sampling distribution of M.

b) It is shown that M is the maximum likelihood estimator of θ. Determine the root mean square error of this estimator as a function of θ and n.
        
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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Consider a population X which follows a uniform distribution U(0, θ) with θ > 0, and let X1, X2, ..., Xn be a random sample of X. Let M = max{X1, X2, ..., Xn}, the maximum value observed in the sample. a) Use the fact that P(M ≤ t) = P(X1 ≤ t, X2 ≤ t, ..., Xn ≤ t) to determine the sampling distribution of M. b) It is shown that M is the maximum likelihood estimator of θ. Determine the root mean square error of this estimator as a function of θ and n.
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Transcript

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00:02 Hi friend, the likelihood function is l function of theta is inversely proportional to theta to the power n for x of n is less than theta less than infinity where xn is the largest observation in the sample which is 2 .14 in this case here n is called to 20 therefore the posterior distribution is pi of theta upon pi sorry theta upon x inversely proportional to 1 upon theta to the power 22 theta is greater than 2 .14 the exact posterior distribution is by theta upon pi sorry theta upon x will be 21 divided by 2 .14 to the power 21, theta to the power 22 for theta to be greater than 2 .14...
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