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    Method of Moments Estimator and Maximum Likelihood Estimator

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    Let X1,...Xn be independent and identically distributed with pdf

    f(x|theta)=(theta)x^(theta-1)
    for 0 less than x less than 1 , =0 otherwise

    i. Name the distribution above and its parameters.

    ii. Find the method of moments estimator (MME) of theta by finding E(X) and setting it equal to Xbar and solve for theta.

    iii. Find the maximum likelihood estimator (MLE) of theta.

    © BrainMass Inc. brainmass.com October 10, 2019, 2:29 am ad1c9bdddf
    https://brainmass.com/statistics/maximum-likelihood-estimation/method-moments-estimator-maximum-likelihood-estimator-379249

    Solution Summary

    The solution finds the method of mements estimator (MME) and the maximum likelihood estimator (MLE).

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