Practical Statistical Methods

Author: Zhou Jialiang
Publisher:
Publish Date: 2002-02-01
Features: This textbook is based on the content of the compulsory course of Probability Theory and Mathematical Statistics for non-mathematics majors in higher education institutions, and is designed to introduce practical statistical methods. The content includes: multiple regression analysis, principal component analysis and canonical correlation analysis, discriminant analysis, cluster analysis, nonparametric rank methods, independence analysis of contingency tables, experimental design, and sampling surveys. Additionally, a brief introduction to the internationally advanced SAS software is provided in the appendix for this book. This textbook is based on the content of the compulsory course of Probability Theory and Mathematical Statistics for non-mathematics majors in higher education institutions, and is designed to introduce practical statistical methods. The content includes: multiple regression analysis, principal component analysis and canonical correlation analysis, discriminant analysis, cluster analysis, nonparametric rank methods, independence analysis of contingency tables, experimental design, and sampling surveys. Additionally, a brief introduction to the internationally advanced SAS software is provided in the appendix for this book.