Researchers involved in the collection of scientific data often end up with multivariate systems. When several variables are simultaneously measured on the same experimental unity, they are usually correlated, and the pattern formed is often too difficult for the human mind to grasp. This text discusses in detail many proven techniques for finding the dimensionality of the pattern and unravelling the information contained in the complexity of variables. The book includes exercises and solutions as well as 41 data sets taken from various areas of application, such as engineering, manufacturing, medicine, social science and economics.
" a systematic, well–written text there is much practical wisdom in this book that is hard to find elsewhere. It belongs in serious data analysts′ libraries " (
IIE Transactions–Quality and Reliability Engineering, November 2005)
"...extends univariate procedures...to analogous multivariate techniques involving several dependent variables..." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...a practitioner who wants to carry out multivariate techniques in applied work and to interpret the results must have this book..." (Technometrics, Vol. 45, No. 1, February 2003)
"...I have not found a better text for a masters–level class in multivariate methods." (Journal of the American Statistical Association, March 2003)
"This book strikes a nice balance between meeting the needs of statistics majors and students in other fields. The discussion of each multivariate technique is straightforward and quite comprehensive. This textbook is likely to become a useful reference for students in their future work." (Journal of the American Statistical Association)
"In this well–written and interesting book, Rencher has done a great job in presenting intuitive and innovative explanations of some of the otherwise difficult concepts." (CHOICE)
"This book is excellent for an introductory course in multivariate analysis for students with minimal background in mathematics and statistics." (Technometrics)
"Excellent introduction to standard topics in multivariate analysis." (American Mathematical Monthly)
" a systematic, well–written text there is much practical wisdom in this book that is hard to find elsewhere. It belongs in serious data analysts′ libraries " (
IIE Transactions–Quality and Reliability Engineering, November 2005)
"...extends univariate procedures...to analogous multivariate techniques involving several dependent variables..." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...a practitioner who wants to carry out multivariate techniques in applied work and to interpret the results must have this book..." (Technometrics, Vol. 45, No. 1, February 2003)
"...I have not found a better text for a masters–level class in multivariate methods." (Journal of the American Statistical Association, March 2003)
