Assume that the distribution of x is f (x) = 1/, 0 x . In
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Assume that the distribution of x is f (x) = 1/θ, 0 ≤ x ≤ θ. In random sampling from this distribution, prove that the sample maximum is a consistent estimator of θ. Note that you can prove that the maximum is the maximum likelihood estimator of θ. But the usual properties do not apply here.Why not?
DistributionThe word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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The density of the maximum is Therefore ...View the full answer
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