What is the Expected Value of Rayleigh Distribution?

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Homework Help Overview

The discussion revolves around the expected value of the Rayleigh distribution, specifically focusing on the transformation of variables and the calculation of the expected value and variance. The original poster presents a density function and attempts to derive the probability density function (pdf) for a transformed variable, as well as the expected value and variance of the original variable.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to find the pdf of a transformed variable and calculate the expected value using integration. They express confusion over a discrepancy in their result compared to expected values found online. Other participants suggest changing the variable of integration and clarify the correct application of the gamma function in the context of the integral.

Discussion Status

Participants are actively engaging with the problem, providing insights and corrections to the original poster's approach. There is a productive exchange of ideas regarding the transformation of variables and the implications of integration techniques. The original poster acknowledges the clarification and expresses understanding of the missing terms in their calculations.

Contextual Notes

The discussion highlights the importance of correctly applying integration techniques and understanding the implications of variable transformations in probability theory. There is an emphasis on ensuring that all terms are accounted for in the calculations, particularly when dealing with gamma functions.

alman9898
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Homework Statement


A density function used is:

[tex]f(y) = \frac{2y}{\theta}e^{\frac{-y^{2}}{\theta}} y > 0[/tex]

using method of transformations find:

(a) pdf of U = Y^2
(b) E(Y) and V(Y)

Homework Equations


f(u) = f(h^-1(u))*|dh^-1/du|
h^-1(u) = sqrt(u)

The Attempt at a Solution



The pdf Y^2 ~ exp(theta)

E(Y) = E(U^1/2).

That is:

[tex]\int\frac{1}{\theta}u^{1/2}e^{\frac{-u}{\theta}}[/tex]

So, multiply by sqrt(theta)/sqrt(theta) and group terms...

[tex]\frac{\sqrt{\theta}}{\theta}\int\sqrt{\frac{u}{\theta}}e^{\frac{-u}{\theta}}[/tex]

The integral is the Gamma function with parameter 3/2. So I get...

sqrt(PI/THETA)/2 as the answer...but a little internets research reveals the expected value *should* be sqrt(PI * THETA)/2. I can't find out where my math went wrong, it's something stupid but I've been stuck for a whole day...
 
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Try changing the variable from u to s by letting [itex]s = u/\theta,\ du = \theta ds[/itex]:

[tex]\int_0^\infty\frac 1 \theta e^{-\frac u \theta}\, du=<br /> \int_0^\infty\frac 1 \theta(\theta s)^{\frac 1 2}e^{-s}\theta\, ds =<br /> \int_0^\infty\sqrt{\theta}s^{\frac 1 2}e^{-s}\,ds = \sqrt\theta\ \Gamma(\frac 3 2)[/tex]
 
That helps a lot, but if it wasn't for checking my work I would've been surely wrong. Any idea why my method didn't work; it's a trick my professor uses to solve problems with 'known' solutions.
 
It's because the gamma function is the integral of sqrt(v)*exp(-v)*dv. Or the integral of sqrt(u/theta)*exp(-u/theta)*d(u/theta). Not the integral of sqrt(u/theta)*exp(-u/theta)*du. The last one is what you were putting to be gamma(3/2). That's not right. You are off by a factor of theta because you didn't change the integration variable. Probably happened because you were omitting the d(something) after your integrals.
 
Last edited:
Ok I understand it now. That clears up a lot, and explains the missing term I needed to make things all nice. (I would have another theta term in the numerator to cancel the one out in the denominator).
 

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