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8. Let X1...., X, be i.i.d. ~E(1) random variables (i.e., they are independent and identically distributed, all with the expo
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8.9 5 X, X2, ..., xn a {(1) xs given then CDF of Xx (1=1,2, .. n) F(xi) = 1- exp(-ne) and PDF of xi xs xs given by f(wi) =omd 1- exp(-1) This P(x, Et P( Yn st) Zn = max(x,1x2, - - ,xn) a P(Zn , t) 1- P( Zn st) - 1-P(max (x,x2,. – An) St As max (x1Let ㅕ Ls (1- exoc-ti) log L = n log (1-exp(+1) log (1 - exp(-x) 1/ we can conite n By equation exp(-x) = 1 expl-h) log L = lo

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8. Let X1...., X, be i.i.d. ~E(1) random variables (i.e., they are independent and identically distributed,...
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