Introduction to Multivariate Statistical Analysis

Author: Zhang Yaoting, Fang Kaitai
Publisher:
Publish Date: 2003-09-25
Features: This book systematically discusses the basic theories and methods of multivariate statistical analysis, emphasizing both theory and practical applications. It can be read by anyone with knowledge of univariate statistics. The main content includes: multivariate normal distribution, analysis of variance, regression analysis, factor analysis and linear models, cluster analysis, and the distribution of statistical quantities. The appendix lists commonly used multivariate distribution tables. The target readers are teachers and senior students in mathematics departments of higher education institutions, as well as scientific and technological workers applying multivariate statistics. This book systematically discusses the basic theories and methods of multivariate statistical analysis, emphasizing both theory and practical applications. It can be read by anyone with knowledge of univariate statistics. The main content includes: multivariate normal distribution, analysis of variance, regression analysis, factor analysis and linear models, cluster analysis, and the distribution of statistical quantities. The appendix lists commonly used multivariate distribution tables. The target readers are teachers and senior students in mathematics departments of higher education institutions, as well as scientific and technological workers applying multivariate statistics.