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RE: st: Stata vs SPSS
Data mining, in the sense of using an AI to fit a model. Done well, it
can be very powerful (think of all the credit card and insurance fraud
such systems prevent), but done poorly (for example training and
predicting on the same dataset), there are some serious drawbacks.
*Computer Consultant and
*Department of Sociology and
*College of Liberal Arts
*University of Iowa
> -----Original Message-----
> From: firstname.lastname@example.org
> [mailto:email@example.com] On Behalf Of Nick Cox
> Sent: Monday, October 16, 2006 11:45 AM
> To: firstname.lastname@example.org
> Subject: RE: st: Stata vs SPSS
> From the same horse's mouth:
> "SPSS is recognized as a leader in the
> predictive analytics market space.
> Predictive analytics, which combines
> advanced analytics and decision optimization,
> will continue to be a focus for the organization
> as it seeks to increase marketplace understanding
> of the business benefits that predictive
> analytics provides."
> Anyone know what this means?
> > http://www.spss.com/corpinfo/history.htm
> > gives a 1968 start date.
> > That's 38 years to get it right...
> Richard Williams
> > > But, the SPSS GUI has to be good because nobody in the
> world could
> > > possibly remember all of SPSS's wildly inconsistent syntax.
> > I can't
> > > think of any good reason for the inconsistencies; I'm
> sure it just
> > > reflects the fact that different routines were written by
> > > programmers and SPSS, unfortunately, made little effort to
> > impose any
> > > consistency. Stata, which is at least 10 years younger
> than SPSS,
> > > probably benefited from seeing what other programs had done wrong.
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
* For searches and help try: