Duncan Murdoch <[EMAIL PROTECTED]> wrote:

Your answer was very helpfull! (in fact, the quantile function of a beta
(with arbitrary real parameters) is built-in Matlab).  

Thank you very much for pointing out the link between F-laws and
beta-laws.

Best wishes,
Davy.

> On Fri, 3 Oct 2003 11:45:31 +0200, [EMAIL PROTECTED] (Davy
> Paindaveine) wrote:
> 
> >Hello,
> >
> >In Matlab, the function finv computes the quantile function of a
> >F-distribution. Unfortunately, the command finv(p,v1,v2) only allows for
> >DFs v1 and v2 that are POSITIVE INTEGERS. Would anyone have a
> >modification of this function which allows to deal with fractional DFs?
> >(F-distributions are defined in terms of chi-squares, which themselves
> >are particular cases of Gamma-distributions allowing non-integer DFs...)
> 
> I'm not a Matlab user, so I don't know for sure, but they'd likely
> have an incomplete beta function with general parameters.  With the
> right normalization, that's the CDF of a beta random variable.
> Standard books will give you the simple conversion between F and beta,
> based on the fact that if A and B are chi-square with degrees of
> freedom df1 and df2, then A/(A+B) is beta, and (A/df1)/(B/df2) is F.
> 
> Duncan Murdoch
.
.
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