Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems. This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.

国外经典统计分析教材，讲述多变量统计的详细理论分析

Aspects of multivariate statistical theory, 高清

实用多元统计分析Applied Multivariate Statistical Analysis(Richard A. Johnson第4中文版) 数据分析与挖掘进阶书籍

多元统计分析的绝佳教材，第三版，斯坦福大学Aderson经典之作。张志华老师统计启蒙教程（http://cos.name/2015/09/interview-of-zhangzhihua/）

非常经典的统计学习书籍，英文书籍，影音版的，很清晰

实用多元统计分析 Applied Multivariate Statistical Analysis（中英文版），希望能帮助大家。学习多元统计的资源。

《Applied Multivariate Statistical Analysis》Wolfgang（《应用多元统计分析》）的习题解答，英文版，pdf