Download PDF by George Fernandez: Statistical Data Mining Using SAS Applications, Second

By George Fernandez

ISBN-10: 1439810753

ISBN-13: 9781439810750

Statistical facts Mining utilizing SAS purposes, moment Edition describes statistical information mining ideas and demonstrates the beneficial properties of straight forward facts mining SAS instruments. Integrating the statistical and graphical research instruments on hand in SAS structures, the booklet offers whole statistical information mining options with no writing SAS software codes or utilizing the point-and-click method. every one bankruptcy emphasizes step by step directions for utilizing SAS macros and analyzing the implications. Compiled info mining SAS macro records can be found for obtain at the author’s site. through following the step by step directions and downloading the SAS macros, analysts can practice whole information mining research quickly and effectively.


New to the second one Edition—General Features




  • Access to SAS macros at once from computer

  • Compatible with SAS model nine, SAS company consultant, and SAS studying variation

  • Reorganization of all aid records to an appendix

  • Ability to create ebook caliber graphics

  • Macro-call mistakes check



New positive aspects in those SAS-Specific Macro Applications




  • Converting computer facts documents to SAS facts (EXLSAS2 macro)

  • Randomly splitting information (RANSPLIT2)

  • Frequency research (FREQ2)

  • Univariate research (UNIVAR2)

  • PCA and issue research (FACTOR2)

  • Multiple linear regressions (REGDIAG2)

  • Logistic regression (LOGIST2)

  • CHAID research (CHAID2)



Requiring no event with SAS programming, this source provides directions and instruments for fast acting exploratory statistical equipment, regression research, logistic regression multivariate equipment, and type research. It offers an obtainable, SAS macro-oriented procedure whereas providing complete info mining solutions.

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Statistical Data Mining Using SAS Applications, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by George Fernandez


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