1. Let X1,..., X, be a random sample with each X, having probability density function f(r;0) = 36°z, 0 < e² < z< oo. (a) Find the maximum likelihood estimator (MLE) of 0. (b) Show that the distribution function F of min, sisn X, is F(r) = 1 – (6*/x)n, for a 2 62. (c) Hence, or otherwise, determine whether the MLE of 0 is unbiased.

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1. Let X1,..., X, be a random sample with each X, having probability density function
f(r;0) = 36°x¬*, 0< o² <x< oo.
(a) Find the maximum likelihood estimator (MLE) of 0.
(b) Show that the distribution function F of min,<ign X, is
F(x) = 1 – (6* /z)m,
for a2 0º.
(c) Hence, or otherwise, determine whether the MLE of 0 is unbiased.
Transcribed Image Text:1. Let X1,..., X, be a random sample with each X, having probability density function f(r;0) = 36°x¬*, 0< o² <x< oo. (a) Find the maximum likelihood estimator (MLE) of 0. (b) Show that the distribution function F of min,<ign X, is F(x) = 1 – (6* /z)m, for a2 0º. (c) Hence, or otherwise, determine whether the MLE of 0 is unbiased.
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