Multivariate Statistical Analysis and Software SAS

Author: Zhu Daoyuan Wu Chengou Qin Weiliang
Publisher:
Publish Date: 1999-08-01
Features: This book is the first domestic textbook to integrate the theory of multivariate statistical analysis with the renowned statistical software SAS. It has two major features: First, it provides a detailed introduction to the fundamental theories and proofs of multivariate statistical analysis, including matrix algebra, random vectors, multivariate normal analysis, hypothesis testing, regression analysis, cluster analysis, discriminant analysis, factor analysis, analysis of variance, principal component analysis, and correlation analysis. Second, it offers a relatively detailed explanation of the application of SAS software, helping scientific and technical workers use multivariate statistical knowledge to solve various theoretical and practical problems. In summary, this book can serve as a textbook for non-mathematics graduate students and mathematics department students, as well as for self-study and reference by engineering technicians. This book is the first domestic textbook to integrate the theory of multivariate statistical analysis with the renowned statistical software SAS. It has two major features: First, it provides a detailed introduction to the fundamental theories and proofs of multivariate statistical analysis, including matrix algebra, random vectors, multivariate normal analysis, hypothesis testing, regression analysis, cluster analysis, discriminant analysis, factor analysis, analysis of variance, principal component analysis, and correlation analysis. Second, it offers a relatively detailed explanation of the application of SAS software, helping scientific and technical workers use multivariate statistical knowledge to solve various theoretical and practical problems. In summary, this book can serve as a textbook for non-mathematics graduate students and mathematics department students, as well as for self-study and reference by engineering technicians.