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# Assume that the data s = (x1, . . . , xn) are a realization of a random sample X1, . . . , Xn from a Galenshore

distribution with parameters α > 0 and θ > 0, where α is known to be equal to α0 while θ is unknown. The probability density function of a Galenshore distribution is given by f(x) = ( 2 Γ(α) θ 2αx 2α−1 exp{−θ 2x 2} if x > 0 0 otherwise, where the gamma function Γ(α) is defined for any α > 0 as Γ(α) = R ∞ 0 y α−1 e −ydy.

a) Write a likelihood function of θ given s.

b) Find a sufficient statistic for s.

c) Find the maximum likelihood estimator for θ.

d) Assume that α0 = 1, n = 5 and s = (2.1, 3.5, 3.1, 2.9, 2.8). Find the MLE estimate of θ given s.

a) Likelihood function L: L(theta) = [2/ ()] n *( 2n )*Product_Sum(i=1,n,xi 2-1 *exp(-... View the full answer ### Why Join Course Hero?

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