Download Statistical Data Mining Using SAS Applications, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Pdf in PDF and EPUB Formats for free. Statistical Data Mining Using SAS Applications, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Pdf Book is also available for Read Online, mobi, docx and mobile and kindle reading. Please use the link provided below to generate a unique download link which is valid for 24hrs. You must use the link before it will expire.
Statistical Data Mining Using SAS Functions, Second Edition describes statistical data mining concepts and demonstrates the choices of shopper-nice data mining SAS tools. Integrating the statistical and graphical analysis tools obtainable in SAS strategies, the book provides full statistical data mining choices with out writing SAS program codes or using the aim-and-click on on technique. Each chapter emphasizes step-by-step instructions for using SAS macros and deciphering the outcomes. Compiled data mining SAS macro info might be discovered for download on the author’s web site. By following the step-by-step instructions and downloading the SAS macros, analysts can perform full data mining analysis fast and efficiently.
New to the Second Edition—Widespread Choices
Entry to SAS macros instantly from desktop
Appropriate with SAS mannequin 9, SAS Enterprise Info, and SAS Learning Edition
Reorganization of all help info to an appendix
Means to create publication high high quality graphics
Macro-identify error confirm
New Choices in These SAS-Specific Macro Functions
Altering PC data info to SAS data (EXLSAS2 macro)
Randomly splitting data (RANSPLIT2)
Frequency analysis (FREQ2)
Univariate analysis (UNIVAR2)
PCA and situation analysis (FACTOR2)
Quite a lot of linear regressions (REGDIAG2)
Logistic regression (LOGIST2)
CHAID analysis (CHAID2)
Requiring no experience with SAS programming, this handy useful resource supplies instructions and tools for shortly performing exploratory statistical methods, regression analysis, logistic regression multivariate methods, and classification analysis. It presents an accessible, SAS macro-oriented technique whereas offering full data mining choices.
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