This is discussed in the book the MASS package (sic) supports, and/or its
online material (depending on the edition).
On Fri, 25 May 2007, fredrik odegaard wrote:
> Hi All,
> could someone shed some light on what the difference between the
> estimated dispersion parameter that is supplied with the GLM function
> and the one that the 'gamma.dispersion( )' function in the MASS
> library gives? And is there consensus for which estimated value to
> use?
>
>
> It seems that the dispersion parameter that comes with the summary
> command for a GLM with a Gamma dist. is close to (but not exactly):
> Pearson Chi-Sq./d.f.
Sometimes close to, but by no means always. Again, discussed in MASS.
> While the dispersion parameter from the MASS library
> ('gamma.dispersion ( )' ) is close to the approximation given in
> McCullagh&Nelder (p.291):
> Res.Dev./n*(6+Res.Dev./n) / (6 + 2*Res.Dev./n)
>
> (Since it is only an approximation it seems reasonable that they are
> not exactly alike.)
>
>
> Many thanks,
> Fredrik
>
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
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