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Article #933

Re: PC Stats package

#933
From: Nathaniel L. Beck
Date: Tue, 15 Mar 1988 19:50
33 lines
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I am not sure what the original poster wanted in a stat package, but
there are several professional packages available. If you do time
series (as I do) then I strongly recommend RATS (version 2.12)
available from VAR Econometrics, PO Box  1818, Evanston, IL
60204-1818 (312 864 8772). For cross-sectional work, try SST
(Dubin-Rivers, Pasadena, CA). Both are quite profession, and while
neither is remarkably user-friendly, I can't see why anyone who
would
want to use these packages would have any problems.

If you want to do non-standard things, the only way to go is GAUSS
(Aptech
in Seattle - Lake Union Place Suite 301, Seattle, 98103 - 206 547
1733

Gauss is fabulous - you can do anything, and while it is a bit like
programming, they have designed modules to make it very easy to do
the
most complicated maximum likelihood routines. For example, I got my
Kalman filtering programs running (that is providing estimates)in 
under half a day. 

Compared to these programs, things like STATA and Statgraphics are
quite amateurish (though they provide much of what many people
need).

I have no connection with VAR, Dubin-Rivers or APtech, except as a
very (well pretty) satisfied user.

Neal Beck
Dept. of Pol Sci
UCSD
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Message-ID: <3640@sdcc6.ucsd.EDU>
Path: arc1-ca.pugleaf.net!utzoo!mnetor!uunet!lll-winken!lll-tis!ames!ucsd!sdcc6!ir1
References: <874@bingvaxu.cc.binghamton.edu> <461@imagine.PAWL.RPI.EDU> <807@entropy.ms.washington.edu>

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Path: arc1-ca.pugleaf.net!utzoo!mnetor!uunet!lll-winken!lll-tis!ames!ucsd!sdcc6!ir1
From: ir1@sdcc6.ucsd.EDU (Nathaniel L. Beck)
Newsgroups: sci.math.stat,comp.sys.ibm.pc
Subject: Re: PC Stats package
Message-ID: <3640@sdcc6.ucsd.EDU>
Date: 15 Mar 88 19:50:12 GMT
References: <874@bingvaxu.cc.binghamton.edu> <461@imagine.PAWL.RPI.EDU> <807@entropy.ms.washington.edu>
Reply-To: ir1@sdcc6.ucsd.edu.UUCP (Nathaniel L. Beck)
Organization: University of California, San Diego
Lines: 31
Keywords: Statgraphics
Summary: Try Gauss or Rats