If you have algorithmns I think we should put in a request. If we include
the algorithmns then I guess it's much more likely thet we'll get a
reasonable response. It's interesting how many people are using mc for stats
applications. Whenever I discuss some of my more difficult stuff with maths
guru's I quickly get told to use matLab and all will be solved. However for
me even just having basic stats functions would improve speed of processing
and development. I'll also send you my small stats library when I get a
chance. If you add any stats functions and improve on mine then send it
back. Eventually we could send it on to Scott Raney and co. to see if they
would be prepared to accomodate it.
Regards
Monte
>From: "John Vokey" <[EMAIL PROTECTED]>
>Reply-To: [EMAIL PROTECTED]
>To: [EMAIL PROTECTED]
>Subject: matrix algebra and stats routines
>Date: Sun, 12 Nov 2000 11:36:25 -0700
>
>Of all the matrix routines to be built-in, among the most useful would be
>the computation of eigenvectors and eigenvalues. Better yet, of course,
>would be generalised, singular value decomposition (SVD). With SVD and a
>good matrix inversion routine built-in, the remaining routines (and full,
>multivariate stats computations) could easily be coded as simple scripts
>without much of a performance hit.
>
> > on 11/12/2000 4:28 PM, "Monte Goulding" <[EMAIL PROTECTED]> wrote:
> >
> >>
> >> OK I'll sent the stats library as soon as I put it all together.
>MetaCard
> >> corp. has proved itself to me as a company that will do it's best to
> >> accomodate users requests so try emailing [EMAIL PROTECTED] if you
>have
> >> specific algorithmns you would like to see as part of the engine.
> >>
> >> PS It sounds like you won't be learning much about stats functions from
>me
> >> but the prob F approximation was pretty hard to find (most references
>to
> >> this function actualy calculate it the long way which is extremley
> >> complicated with only very minor improvements in accuracy.
> >>
> >> Regards
> >>
> >> Monte
>
>--
>This was too good not to pass along...
>
>My wife recently gave an intro stat quiz which some questions on tables
>showing whether or not a convicted murder was given a death penalty, broken
>down by the race of the perpetrator and race of the victim (Data are on
>page
>187 of Moore & McCabe's book). The final question asked students to
>discuss
>how the data provided an example of Simpson's paradox.
>
>You've probably guessed it by now -- she had one student who wrote a long
>paragraph about OJ Simpson's legal difficulties as a black man being
>accused
>of murdering a white woman. Will future generations of statistics students
>automatically thinks that this is the Simpson in Simpson's paradox?
>- Robin Lock
>
>John R. Vokey, Ph.D.
>Chair
>Department of Psychology and Neuroscience
>University of Lethbridge
>
>
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