SAS system and data analysis

Author: Deng Xiangxin
Publisher:
Publish Date: 2002-08-01
Features: This book is divided into 8 chapters. Chapters 1-3 introduce the SAS software system, basic knowledge of SAS program writing, and various SAS graphics. Chapter 4 introduces the fundamentals of probability theory and mathematical statistics, preparing the theoretical background for the statistical analysis methods introduced in subsequent chapters. Chapters 5-8 introduce several statistical analysis methods used in data analysis: regression analysis, principal component analysis, factor analysis, canonical correlation analysis, discriminant analysis, cluster analysis, and time series analysis. The content structure of each chapter is arranged as follows: theory, SAS procedures, examples, operational steps, result output, result analysis, and professional conclusions. This book primarily explains how to use the SAS software system for data analysis. The content is divided into two parts. The first part introduces some basic operations of the SAS system, database management, statistical report output, drawing various statistical graphics, and simple programming. The second part, using specific data examples, introduces several commonly used statistical analysis methods in data analysis: regression analysis, principal component analysis, factor analysis, canonical correlation analysis, discriminant analysis, cluster analysis, and time series analysis. This book is primarily aimed at undergraduate students of e-commerce, can also be used as a teaching material for MBA and postgraduate students, and can also be used as a reference book for students of various economics-related majors studying data processing courses.