Principles of Multivariate Analysis - A User''s Perspective

Zusatztext " ... it should serve as an excellent reference for anyone interested in multivariate methods." Informationen zum Autor Established author of texts on statistics. Klappentext This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references! a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first edition. Zusammenfassung Multivariate analysis is necessary whenever more than one characteristic is observed on each individual under study. Applications arise in very many areas of study. This book provides a comprehensive introduction to available techniques for analysing date of this form. This edition includes a survey of developments in the subject. Inhaltsverzeichnis Part I: Looking at multivariate data Part II: Samples, populations, and models Part III: Analysing ungrouped data Part IV: Analysing grouped data Part V: Analysing association among variables Appendix: some basic matrix theory A1 Definitions A2 Elementary arithmetic operations A3 Determinants and inverses A4 Quadratic forms A5 Latent roots and vectors A6 Matrix square root A7 Partitioned matrices A8 Vector differentiation References Index

Product details

• Authors: W. J. Krzanowski, Wojtek Krzanowski, Wojtek J. Krzanowski
• Publisher: Oxford University Press
• Languages: English
• Product format: Paperback / Softback
• Released: 01.10.2000
• EAN: 9780198507086
• ISBN: 978-0-19-850708-6
• No. of pages: 608
• Series: Oxford Statistical Science Series; Oxford Statistical Science Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Mathematical Analysis, Probability & statistics, Calculus & mathematical analysis, Probability and statistics, Calculus and mathematical analysis