Statistical Data Mining Using SAS Applications George Fernandez

ISBN: 9781439810750

Published: June 18th 2010

Hardcover

453 pages


Description

Statistical Data Mining Using SAS Applications  by  George Fernandez

Statistical Data Mining Using SAS Applications by George Fernandez
June 18th 2010 | Hardcover | PDF, EPUB, FB2, DjVu, audiobook, mp3, ZIP | 453 pages | ISBN: 9781439810750 | 7.48 Mb

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SASMoreStatistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach.

Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the author s website. By following the step-by-step instructions and downloading the SAS macros, analysts can perform complete data mining analysis fast and effectively.New to the Second Edition General FeaturesAccess to SAS macros directly from desktop Compatible with SAS version 9, SAS Enterprise Guide, and SAS Learning Edition Reorganization of all help files to an appendix Ability to create publication quality graphics Macro-call error checkNew Features in These SAS-Specific Macro ApplicationsConverting PC data files to SAS data (EXLSAS2 macro) Randomly splitting data (RANSPLIT2) Frequency analysis (FREQ2) Univariate analysis (UNIVAR2) PCA and factor analysis (FACTOR2) Multiple linear regressions (REGDIAG2) Logistic regression (LOGIST2) CHAID analysis (CHAID2)Requiring no experience with SAS programming, this resource supplies instructions and tools for quickly performing exploratory statistical methods, regression analysis, logistic regression multivariate methods, and classification analysis.

It presents an accessible, SAS macro-oriented approach while offering comprehensive data mining solutions.



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