7.1.1 Show that the mean of a random sample of size n from a distribution having pdf f( x; θ) = (1/θ) e^-(x/θ), 0 <x < infinity, 0 < θ < infinity, 0 elsewhere, is an unbiased estimator of θ and has variance θ^2/n.© BrainMass Inc. brainmass.com June 3, 2020, 5:43 pm ad1c9bdddf
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7.1.1 Show that the mean of a random sample of size n from ...
Proof of an unbiased estimator is provided.