If X is chi-square with df = m, then E(Xf(x)) = 2G(n/2+1)E(f(Y))/G(n/2),
where
Y is chi-square with df = m+2. G(.) denotes the gamma function.
To find, E(ln(Y)), look Handbook
of Mathematical Functions by Abromowitz and Stegun .

Kris
----- Original Message -----
From: Alan Miller <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Thursday, April 18, 2002 12:33 AM
Subject: Re: Urgent!!! (Corrln. of X & ln(X))


> mike anderson wrote in message ...
> >x is chi square with 2m d.o.f. what is the correlation between x and lnx?
> >thanks
> >
> >--
> >Mike
> >
>
>
> Continuing from my previous response, I find that the correlation is:
> 1/sqrt[m.zeta(2,m)]
> That looks nice and simple, doesn't it? - until you start looking for
> Riemann's zeta function, or what some authors call the generalized zeta
> function (it has 2 arguments).
> Now
> zeta(2,m) = sum of squares of reciprocals of m, m+1, m+2, m+3, ...
> This sum converges but painfully slowly.
> However, it is known that zeta(2,1) = pi^2 / 6 = 1.644934067..
> Hence for small m, you can just subtract 1, 1/4, 1/9, 1/16, ... 1/(m-1)^2
> from this.
> Finally this gives the numerical values which Colin Rose gave about 2 days
> ago!
>
> Cheers
> --
> Alan Miller (Honorary Research Fellow, CSIRO Mathematical
> & Information Sciences)
> http://www.ozemail.com.au/~milleraj
> http://users.bigpond.net.au/amiller/
>
>
>
> .
> .
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