Integrates SAS programming with complex data analysis applications
Focuses on using SAS and statistical aspects of models and methods of analysis
Introduction to SAS - beyond the basics and illustrated with numerous worked examples
Advanced material suitable for a second course in applied statistics with every method explained using a SAS analysis to illustrate a real-world problem
15-20 problems in every chapter
End of chapter exercises
Solutions to exercises
Downloadable SAS code and data sets

� propos de l?auteur

Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. He has taught a data analysis course based on SAS for over 35 years and offered workshops and short-courses on various aspects of SAS including traditional SAS programming, SAS Enterprise Guide, SAS Enterprise Miner, and JMP for many years to both university audiences and non-academic participants.

Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

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