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I'm just a bit confused as to how to solve this. Suppose that U1, . .., Un is a random sample from a U(0, 1)

I'm just a bit confused as to how to solve this.

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Suppose that U1, . .., Un is a random sample from a U(0, 1) distribution and let Yi = In(Ui). (a) Derive the distribution of Yi (b) If the true value of the population mean / is 1.12 is the estimator /( Y1, . . ., Yn) = Y unbiased? (c) Compute the limn MSE[(Y1, . . ., Yn)]

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