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#### Assume X; Y and Z are jointly Gaussian mean-zero random variables with the (joint) variance given by K := Var(X; Y;Z) =[2 1 0;1 2 1;0 1 2 ]

```Assume X; Y and Z are jointly Gaussian mean-zero random variables with the (joint) variance given
by
K := Var(X; Y;Z) =[2 1 0;1 2 1;0 1 2 ]

(a) Determine the distribution of U = X + Y + Z.
(b)Let W = X + Y and V = X + Y . Compute the joint distribution of W and V .
after assiging the values to k matrix how can i find u
```
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5/20/2012 6:34:07 PM
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```
"pramod kumar" <pramod.kilu@gmail.com> wrote in message
news:jpbdev\$hqh\$1@newscl01ah.mathworks.com...
> Assume X; Y and Z are jointly Gaussian mean-zero random variables with the
> (joint) variance given
> by
> K := Var(X; Y;Z) =[2 1 0;1 2 1;0 1 2 ]
>
> (a) Determine the distribution of U = X + Y + Z.
> (b)Let W = X + Y and V = X + Y . Compute the joint distribution of W and V
> .
> after assiging the values to k matrix how can i find u

This doesn't look like a question about MATLAB, so you may have better luck
posting it to a different newsgroup, like sci.stat.math (which you can

Of course, you'll probably have much better luck over there if you post what
you've tried to solve this homework problem first, not just the homework
question.

--
Steve Lord
slord@mathworks.com