Let X_1,…,X_n be independent random variables with densities: f_X_k(x∣theta)={ e^(k theta−x) x>=k theta, 0 otherwise Find the pmf for T=min_ k (X_k/k).

jorgejasso85xvx

jorgejasso85xvx

Answered question

2022-11-20

Let X 1 , , X n be independent random variables with densities:
f X k ( x θ ) = { e k θ x x k θ 0 otherwise
Find the pmf for T = min k ( X k k ) .

Answer & Explanation

erlent00s

erlent00s

Beginner2022-11-21Added 15 answers

Notice that
Pr ( Y k > x ) = x k e k ( θ w ) d w = e k ( θ x ) .
So
Pr ( min > x ) = Pr ( for all  k Y k > x ) = e θ x e 2 ( θ x ) e 3 ( θ x ) e n ( θ x ) = e n ( n + 1 ) ( θ x ) / 2 .
Consequently for x > θ, we have
f min ( x ) = d d x ( 1 e n ( n + 1 ) ( θ x ) / 2 ) = n ( n + 1 ) 2 e n ( n + 1 ) ( θ x ) / 2 .
Dividing by e θ x e 2 θ x e 3 θ x e n θ x , one sees that the θ cancels and the x doesn't.

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