The minimum number of terms required in the poissonran function can be
established for any mean with:

limit=:  3 : 0
NB. threshold for mean y
(+/\(^-y)**/\1,y%}.i.5*y)I.1.0
)

now try:

plot (;limit)i.100

The erratic plot is of course due to the behavior of I. when its left
argument is slowly approaching its right argument.

Do we have a problem?

On Sat, Aug 9, 2008 at 12:23 PM, Roger Hui <[EMAIL PROTECTED]> wrote:

> >       (Fishman's book is from 1978, and I don't know the
> > meaning of "double precision" in that context relative to
> > ours.)
>
> "Double precision" in 1978 most likely meant 64 bits.
> Likewise today.
>
>
>
> ----- Original Message -----
> From: Brian Schott <[EMAIL PROTECTED]>
> Date: Saturday, August 9, 2008 7:53
> Subject: Re: [Jprogramming] general Gamma distribution
> To: Programming forum <[email protected]>
>
> >       Let me add what may be obvious, but I cannot be
> > sure. When generating Poisson random variates using the
> > routines we have been discussing, people are
> > usually interested in cases for which the mean, lambda, is
> > quite modest, because when lambda gets larger, the
> > Poisson distribution becomes so symmetric (unskewed) as to
> > be almost identical to the normal distribution. So it is
> > with small lambda, that the skewness of the distribution
> > would suggest threshholding as Raul or Fishman are
> > suggestiong and I think small lambda is also the case for
> > which "double precision" is needed, not for large lambda.
> >
> >       (Fishman's book is from 1978, and I don't know the
> > meaning of "double precision" in that context relative to
> > ours.)
> >
> >       So I wonder if more could be done to study both the
> > threshholding and the precision requirements for
> > small lambda.
> >
> >       Would the use of x: produce more precision and could
> > that be done exclusively in the definition of possible? If
> > so, how?
> >
> >       possible=: (^-y) +/\@:* 1 */\@, y&%
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