• Paperback: 368 pages
• Publisher: Springer; 1 edition (July 27, 2007)

“In general, I find this book particularly instructive, by discussingvarious techniques and analytical tools via exercises with rigoroussolutions. The computer codes for computer-based exercises areavailable in R or XploRe
languages through the Springer link web pagesand from the authors’ home pages. The web links also provide access toreal datasets used in the book. This is a very useful exercise book forstudents and instructors as well as for nonexperts using in appliedmultivariate data analysis. There has been large demand for techniquesto handle and analyze high-dimensional data. In this regard, the bookwould be a good reference for researchers and students working in thetheory or applications of multivariate statistical analysis.” (Journalof the American Statistical Association, Dec. 2009, Vol. 104, No. 488)

自学多元统计的绝佳教材。