Description
An introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniques are presented as well as continuous variable techniques to give a comprehensive coverage of the subject This updated edition includes a new appendix which traces developments that have taken place in the years since the publication of the first edition and which clarifies some issues raised by readers of the original text. References to around 60 books and articles supplement the material in this appendix. Review: This is an excellent book...Theoretical as well as applied statisticians should keep it in their collection. Journal of Statistical Computation and Simulation ... it should serve as an excellent reference for anyone interested in multivariate methods. Journal American Statistical Association
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