The joint distribution for the length of life of two

Chapter 6, Problem 31E

(choose chapter or problem)

Get Unlimited Answers
QUESTION:

The joint distribution for the length of life of two different types of components operating in a system was given in Exercise  by

\(f\left(y_{1}, y_{2}\right)=\left\{\begin{array}{ll}  (1 / 8) y_{1} e^{-\left(v_{1}+y_{2}\right) / 2}, & y_{1}>0, y_{2}>0 \\  0, & \text { elsewhere }  \end{array}\right.\)

The relative efficiency of the two types of components is measured by \(U=Y_{2} / Y_{1}\). Find the probability density function for \(U\).

Equation Transcription:

 {

Text Transcription:

f(y1,y2)= {(1/8)y_1e^-(v_1=y_2)/2,    y_1 > 0, y_2 > 0     0,  elsewhere

U=Y_2/Y_1

U

Questions & Answers

QUESTION:

The joint distribution for the length of life of two different types of components operating in a system was given in Exercise  by

\(f\left(y_{1}, y_{2}\right)=\left\{\begin{array}{ll}  (1 / 8) y_{1} e^{-\left(v_{1}+y_{2}\right) / 2}, & y_{1}>0, y_{2}>0 \\  0, & \text { elsewhere }  \end{array}\right.\)

The relative efficiency of the two types of components is measured by \(U=Y_{2} / Y_{1}\). Find the probability density function for \(U\).

Equation Transcription:

 {

Text Transcription:

f(y1,y2)= {(1/8)y_1e^-(v_1=y_2)/2,    y_1 > 0, y_2 > 0     0,  elsewhere

U=Y_2/Y_1

U

ANSWER:

Solution:

Step 1 of 2:

It is given that and are random variables  denoting the life lengths of two different types of components.

The joint density function is given by

f(

The relative efficiency is given by U=.We have to find the probability density function of U.


Add to cart


Study Tools You Might Need

Not The Solution You Need? Search for Your Answer Here:

×

Login

Login or Sign up for access to all of our study tools and educational content!

Forgot password?
Register Now

×

Register

Sign up for access to all content on our site!

Or login if you already have an account

×

Reset password

If you have an active account we’ll send you an e-mail for password recovery

Or login if you have your password back