Abstract

Abstract This book is 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 about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy. The new edition includes a survey of the most recent developments in the subject.

Keywords

Subject (documents)IntuitionComputer scienceMultivariate statisticsData scienceMathematics educationManagement scienceLibrary scienceEpistemologyMathematicsEngineeringPhilosophy

Related Publications

Publication Info

Year
2000
Type
book
Citations
459
Access
Closed

External Links

Social Impact

Altmetric

Social media, news, blog, policy document mentions

Citation Metrics

459
OpenAlex

Cite This

W. J. Krzanowski (2000). Principles of Multivariate Analysis. . https://doi.org/10.1093/oso/9780198507086.001.0001

Identifiers

DOI
10.1093/oso/9780198507086.001.0001