Multivariate statistical analysis

Author: Yu Xiulin Ren Xuesong
Publisher:
Publish Date: 1999-08-01
Features: Multivariate statistical analysis is an important branch of statistics. This book is a textbook for undergraduate students majoring in statistics at universities. The book is divided into twelve chapters, introducing topics such as multivariate normal distribution, hypothesis testing for mean vectors and covariance matrices of multivariate normal populations, graphical methods for multivariate data, cluster analysis, discriminant analysis, principal component analysis, factor analysis, correspondence analysis, canonical correlation analysis, multiple multivariate regression analysis, and an introduction to statistical analysis of qualitative data.