Assume that X1,..., Xn constitute an iid sample from a distribution with pdf Spa-PrP=1 if 0 < * < a, f (x) = otherwise for some unknown parameters p > 0 and a > 0. (a) Derive the maximum likelihood estimate for a. If you decide to use calculus methods, you have to perform a second derivative test. (b) Derive the maximum likelihood estimate for p. If you decide to use calculus methods, you have to perform a second derivative test. (c) Derive the equations that allow you to find the method of moment estimators for p and a. Your equations must explicitly contain p and a. You do NOT have to actually solve the equations.

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Assume that X1,..., Xn constitute an iid sample from a distribution with pdf
Spa-PrP-1 if 0 < x < a,
f(x) =
otherwise
for some unknown parameters p > 0 and a > 0.
(a) Derive the maximum likelihood estimate for a. If you decide to use calculus methods, you
have to perform a second derivative test.
(b) Derive the maximum likelihood estimate for p. If you decide to use calculus methods, you
have to perform a second derivative test.
(c) Derive the equations that allow you to find the method of moment estimators for p and a. Your
equations must explicitly contain p and a. You do NOT have to actually solve the equations.
Transcribed Image Text:Assume that X1,..., Xn constitute an iid sample from a distribution with pdf Spa-PrP-1 if 0 < x < a, f(x) = otherwise for some unknown parameters p > 0 and a > 0. (a) Derive the maximum likelihood estimate for a. If you decide to use calculus methods, you have to perform a second derivative test. (b) Derive the maximum likelihood estimate for p. If you decide to use calculus methods, you have to perform a second derivative test. (c) Derive the equations that allow you to find the method of moment estimators for p and a. Your equations must explicitly contain p and a. You do NOT have to actually solve the equations.
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