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A 25; (a) Let X have pdf fx {at} = $39136\" for .t 3: [II where 1 E (moo) is an unknown parameter. Compute the maximum likelihood estimator ? based on a random sample an, . . . ,r,' of size n E N. You should careilly verify that your a truly maximizes the likelihood {or log likelihood]. [7] (h) ['Ijrpe] Describe the three main favourable asymptotic properties of MLEs discussed in the course. For each of these properties, decide whether they are relevant in the example treated above and describe what they imply in this particular example. [6]