1. Let the random variable Y have pdf as f(y\A) = e®=e=t(e-1), y>0,1>0. Show that W = e – 1] ~ x² or, equivalently, U = e – 1~x.

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1. Let the random variable Y have pdf as
f(y)A) = e"=e{(e*-1), y>0, A > 0.
Show that W = {e* – 1] ~ xỉ or, equivalently, U = e' –1~}X.
Transcribed Image Text:1. Let the random variable Y have pdf as f(y)A) = e"=e{(e*-1), y>0, A > 0. Show that W = {e* – 1] ~ xỉ or, equivalently, U = e' –1~}X.
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