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Let X and Y be independent continuous random variables with respective hazard rate functions λX(t) and λY(t), and set W = min(X, Y).

(a) Determine the distribution function of W in terms of those of X and Y.

(b) Show that λW(t), the hazard rate function of W, is given by λW(t) = λX(t) + λY(t)

Short Answer

Expert verified

a. Fw(t)=1-(1-Fx(t))(1-Fy(t))

b.λw(t)=λx(t)+λy(t)

Step by step solution

01

Content Introduction

X and Y are independent continuous random variable with respect hazard rate functionλx(t)andλy(t)

02

Explanation (Part a)

Let us determine the cumulative distribution function of W using the fact that W is larger than t when both X and Y are larger than t.

Fw(t)=P(W≤t)=1-P(W>t)=1-P(X>t,Y>t)

X and Y are both independent

=1-P(X>t)(Y>t)=1-(1-P(X≤t))(1-P(Y≤t))=1-(1-Fx(t))(1-Fy(t))

03

Explanation (Part b)

We use the definition of the hazard rate function λ(t)=f(t)1-F(t)

λw(t)=fw(t)1-Fw(t)=(1-Fx(t))fy(t)+(1-Fy(t))fx(t)1-(1-(1-Fx(t))(1-Fy(t)=(1-Fx(t))fy(t)1-(1-(1-Fx(t))(1-Fy(t)+(1-Fy(t))fx(t1-(1-(1-Fx(t))(1-Fy(t)=fy(t)1-Fy(t)+fx(t)1-Fx(t)=λx(t)+λy(t)

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