# Independent exponential R.V.

• May 3rd 2009, 10:22 PM
Jason2009
Independent exponential R.V.
Known
• May 3rd 2009, 11:49 PM
CaptainBlack
Quote:

Originally Posted by Jason2009
Known a, b, c are 3 independent exponentials with E(a)=E(b)=E(c)=2.
Find the variance of Y=a(b+c).

Can someone please give me some hints?

Thanks very much.

The mean is:

$E(Y)=E(a(b+c))=\frac{1}{8}\int_0^{\infty}\int_0^{\ infty}\int_0^{\infty} a(b+c) e^{-a/2}e^{-b/2}e^{-c/2} ~da~db~dc$

which you should be able to do easily (using $\overline{a}=\overline{b}=\overline{c}=2$ )

Then You will need:

$E(Y^2)=E([a(b+c)]^2)=\frac{1}{8}\int_0^{\infty}\int_0^{\infty}\int_ 0^{\infty} [a(b+c)]^2 e^{-a/2}e^{-b/2}e^{-c/2} ~da~db~dc$

(use your knowlege of $\text{var}(a)$ , $\text{var}(b)$ and $\text{var}(c)$ as an aide to evaluating this, you should not need to do any actual integrals that way)

$\text{var}(Y)=E(Y^2)-[E(Y)]^2$

CB
• May 4th 2009, 03:40 AM
Jason2009
Thanks ,CaptainBlack.
What kind of the property did you use?
• May 4th 2009, 05:14 AM
CaptainBlack
Quote:

Originally Posted by Jason2009
Thanks ,CaptainBlack.
What kind of the property did you use?

If $X$, $Y$ and $Z$ are independedent RVs then their joint density:

$
p(x,y,z)=p(z)p(y)p(z)
$

where $p(x)$, $p(y)$ and $p(z)$ are the marginal densities of $X$, $Y$ and $Z$ respectivly.

CB