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Determining Distribution using normal/chi-square

 
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Aug14-09, 10:09 AM   #1
 

Determining Distribution using normal/chi-square


1. The problem statement, all variables and given/known data

Suppose X,W,Y and Z are all independent. X & Y have a normal distribution. W has N(4,4) distribution while Z has a chi-square with 2 degrees of freedom.

a) What is the distribution of X2 + Y2 + Z?
b) What is the distribution of W - 4/(2|X|)
c) What is the distribution of (X2 + Y2)/Z

2. Relevant equations



3. The attempt at a solution

a) X~N(0,1) Y~N(0,1) Y2~X2(1) X2~X2(1)

Let S = X2 + Y2 + Z

therefore S~X2(4)

c) X~N(0,1) Y~N(0,1) Y2~X2(1) X2~X2(1)

Let S = (X2 + Y2)/Z

therefore S~X2(1)

b) Not sure what to do about the absolute value.
 
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Aug14-09, 11:12 AM   #2
 
Recognitions:
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Your response to c isn't correct - you cannot say that because the numerator has 2 degrees of freedom, as does the denominator, they cancel.
You do know that the numerator and denominator are independent, and both have chi-square distributions, so ...
 
Aug14-09, 11:35 AM   #3
 
Ah, they become an F-distribution

so S ~ F2,2

how would I handle the |X| in part b)?
 
Aug18-09, 11:33 AM   #4
 

Determining Distribution using normal/chi-square


Quote by cse63146 View Post
how would I handle the |X| in part b)?
[tex]|X|=\sqrt{X^2}[/tex]
 
Aug18-09, 12:34 PM   #5
 
Thank you.
 
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