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 postgraduate students coming to the subject for the first time. The author's emphasis is problem-oriented; he stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections which are not essential for a practical understanding of technique are clearly indicated so they may be skipped by nonspecialists. The book covers recent developments concerning discrete and mixed variable techniques, as well as continuous variable techniques and other new ideas. This is an up-to-date and very readable account--with a practical emphasis--for research workers in subjects as diverse as anthropology, education, industry, medicine, and taxonomy.
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Established author of texts on statistics.Review:
"This book is an applied multivariate analysis text aimed at the user or potential user of multivariate methods. The author has kept matrix formulas and manipulations to a minimum by replacing derivations with geometrical arguments whenever possible. . . The most important topic covered is basic multivariate distribution theory, with particular attention given to the multivariate normal and Wishart distributions. . . . [I]t should serve as an excellent reference for anyone interested in multivariate methods." -- JASA
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Book Description Oxford University Press, 1990. Paperback. Book Condition: New. Never used!. Bookseller Inventory # P110198522304
Book Description Oxford University Press, USA, 1990. Paperback. Book Condition: New. Bookseller Inventory # DADAX0198522304