Problem # 1. Functions of random variables: = ae a) Let random variable X have probability density function fx(x) u(·) is the unit step function, and a > 0. Define derived random variable u(x), where Y = g(X) = loge [1 − e¯ªX] – Find the PDF ƒy(y). b) Next, consider any continuous random variable W with known PDF, fw(w). Define derived random variable Z=h(W) = log. [Fw(W)] where Fw() is the CDF of W. Find the PDF ƒz(z).

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Chapter1: Combinatorial Analysis
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Problem # 1.
Functions of random variables:
= ae
a) Let random variable X have probability density function fx(x)
u(·) is the unit step function, and a > 0. Define derived random variable
u(x), where
Y = g(X) = loge [1 − e¯ªX]
–
Find the PDF ƒy(y).
b) Next, consider any continuous random variable W with known PDF, fw(w). Define
derived random variable
Z=h(W) = log. [Fw(W)]
where Fw() is the CDF of W. Find the PDF ƒz(z).
Transcribed Image Text:Problem # 1. Functions of random variables: = ae a) Let random variable X have probability density function fx(x) u(·) is the unit step function, and a > 0. Define derived random variable u(x), where Y = g(X) = loge [1 − e¯ªX] – Find the PDF ƒy(y). b) Next, consider any continuous random variable W with known PDF, fw(w). Define derived random variable Z=h(W) = log. [Fw(W)] where Fw() is the CDF of W. Find the PDF ƒz(z).
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