On Sat, Apr 26, 2008 at 4:01 PM, Will GlassHusain <wglass@forio.com> wrote:
> Hi Phil,
>
> That makes sense  Thanks!
>
> I used this formula in Excel and did a comparison with Excel it matched
> exactly (at 5 decimal places). Maybe it would make sense to add it in, just
> for comprehensiveness? But not a big deal.
We can talk about this. Out of curiousity, what are you using this
(the pdf) for?
>
> I don't think I've posted with a Math question before, but as long as I'm
> here to me CommonsMath is one one of the unsung niche heroes of Apache.
> Serves a specific need, nicely documented, works well. I use it extensively
> in a particular app, but rarely have questions about it since it just
> works. Thanks to you and the other authors for creating it.
Thanks!
Phil
>
> Cheers, WILL
>
>
>
>
>
> On Sat, Apr 26, 2008 at 3:46 PM, Phil Steitz <phil.steitz@gmail.com> wrote:
>
> > On Sat, Apr 26, 2008 at 3:07 PM, Will GlassHusain <wglass@forio.com>
> > wrote:
> > > Hi,
> > >
> > > I'm looking to include the capability in a project to calculate both
> > the
> > > cumulative normal distribution as well as the normal probability mass
> > > function. (similar to Excel's NORMDIST function).
> > >
> > > I see that NormalDistribution has a method to return the cumulative
> > > probability, but does not have the probability function itself. Can
> > anyone
> > > comment on why this missing? (or if there's an alternative way to
> > calculate
> > > what I'm looking for?)
> > >
> > > Thanks in advance,
> > >
> > > WILL
> > >
> >
> > Commonsmath does not currently provide numerical estimates of
> > probability density functions for continuous distributions. I guess
> > this is because most applications need just need probabilities or
> > quantiles. I am not sure how good the numerics of the definitional
> > formula for the normal pdf is, but you could just implement that
> > directly. See, e.g.
> > http://mathworld.wolfram.com/GaussianFunction.html.
> >
> > Phil
> >
> > 
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> >
> >
>
>
> 
> Forio Business Simulations
>
> Will GlassHusain
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>

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