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Observations Y1, Y2, ..., Yn are assumed to be independent and identically distributed samples from a data model with probability density function: f(y; 0) =

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Observations Y1, Y2, ..., Yn are assumed to be independent and identically distributed samples from a data model with probability density function: f(y; 0) = deyto-de" for y > 0 and 0 > 0. (a) Derive the maximum likelihood estimator, 0 of 0. Let y1, . . . yg below correspond to 8 samples from this distribution. 0.570 0.773 0.655 0.824 0.827 0.581 0.799 0.512. (b) Calculate the maximum likelihood estimate for A based on these data

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