Practical Statistical Methods and SAS System

Author: Gao Huixuan
Publisher:
Publish Date: 2001-10-01
Features: This book introduces some practical statistical methods and uses the internationally renowned software SAS as a typical tool to demonstrate how to use statistical software to handle various practical problems in data analysis. The main text of the book is divided into ten chapters. Chapters 1 and 2 introduce basic statistical analysis; Chapters 3 and 4 introduce general linear models (variance and regression); Chapter 5 introduces attribute data analysis; Chapters 6 and 7 introduce classification problems (discrimination and clustering); Chapters 8, 9, and 10 introduce multivariate methods for dimension reduction (principal components, factorial analysis, and canonical correlation analysis). There is also Appendix 1, which introduces an introduction to SAS: including the usage of the SAS system in the Windows environment, methods for statistical analysis using the two menu systems of SAS version 8, etc.; Appendix 2 provides reference solutions to some exercises.