SAS Software and Statistical Applications Tutorial

Author: Wang Yuanzheng
Publisher:
Publish Date: 2007-02-01
Features: SAS is one of the most renowned data analysis software systems in the international community today. This book is based on the SAS System 8.2 version and introduces how to use SAS's INSIGHT, "Analyst," and programming methods to implement common statistical analyses through numerous examples. The SAS applications covered in this book include descriptive statistics, hypothesis testing and interval estimation, regression analysis, analysis of variance, principal component analysis and factor analysis, canonical correlation analysis and correspondence analysis, cluster analysis and discriminant analysis, and attribute data analysis, among others. The book is clear in its concepts, strong in logic, well-structured, and rich in examples. Each chapter includes typical exercises, making it suitable for classroom teaching by instructors and self-study by students. This book can serve as a textbook for undergraduate and graduate applied statistics programs, a training manual for SAS statistical software workshops, and a reference book for data processing professionals.