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From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: "analytics" |

Date |
Fri, 28 Dec 2007 17:00:44 -0500 |

David-- I think the business/marketing use of the term Analytics (from the Greek analutiká "principles of mathematical analysis" but used to mean just analysis rather than principles of analysis) dates from the last decade--see refs at http://en.wikipedia.org/wiki/Business_analytics and was probably helped by Google et al.: http://www.google.com/analytics/ http://en.wikipedia.org/wiki/Web_analytics http://pped.org/stata/ssc2.gif (that last one is SSC hits by country). There are some interesting problems in the field, I suppose, some of which masquerade as "fraud detection" by credit card companies, or "terrorist detection" by the NSA, CIA, etc., but really are various forms of minimum-entropy estimation problems on very large error-ridden datasets. Leading occasionally to your credit card being turned down or some random (or at least incorrectly identified) person being arrested. For a funny definition, see http://chatmine.com/glossary/index.htm : Analytics (statistical inferencing) Chatmine uses a variety of statistical techniques to provide you inferential testing. We use factor, PCA, decision or probability trees, discriminant analysis and test the predictions (T, F and Chisquare tests). These give you a deeper understanding as well as relevance of our findings to larger populations. For example, is there a significant difference between gaming purchases made between expert and novice players? Well, it seemed funny to me, anyway. * * 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/

**References**:**st: "analytics"***From:*David Airey <david.airey@Vanderbilt.Edu>

**Re: st: "analytics"***From:*Robert A Yaffee <bob.yaffee@nyu.edu>

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