An Introduction to Multivariate Statistical Analysis, 2nd Edition

Anderson, Theodore W.

ISBN 10: 0471889873 / ISBN 13: 9780471889878

Published by John Wiley & Sons, Inc, 1984

About this Item

Stated Second Edition with "1" on the number line on copy right . Includes extensive appendices, indexes and references. Pages are clean and bright; Binding is tight. There are no tears, creases or writing. Black cloth binding with embossed design and lettering on cover and spine is clean and bright. Gilded lettering on spine and cover is bright. This is NOT an ex-lib or a remainder. Over sized book - 675 pages. DJ is complete & colorful with sunning along the edges. DJ has rubbing and soiling. DJ has born the wear of this book's s 41+ years of existence but is still in excellent condition. DJ now in mylar jacket Note: We use "Fine" book condition judiciously; only when the book exhibits no flaws. A Fine book closely approaches -As New- condition and may not have been previously owned. Any flaws (writing, tears, creases) are exceptions to a Fine condition and should be clearly described for a book and dust jacket.

Seller Inventory # 001617

Bibliographic Details

• Title: An Introduction to Multivariate Statistical Analysis, 2nd Edition
• Publisher: John Wiley & Sons, Inc
• Publication Date: 1984
• Language: English
• ISBN 10: 0471889873
• ISBN 13: 9780471889878
• Binding: Hardcover
• Edition: 2nd Edition
• Printing: 1st Printing
• Condition: Fine
• Dust Jacket Condition: Near Fine

About this title

Synopsis

Multivariate Statistical Simulation Mark E. Johnson For the researcher in statistics, probability, and operations research involved in the design and execution of a computer-aided simulation study utilizing continuous multivariate distributions, this book considers the properties of such distributions from a unique perspective. With enhancing graphics (three-dimensional and contour plots), it presents generation algorithms revealing features of the distribution undisclosed in preliminary algebraic manipulations. Well-known multivariate distributions covered include normal mixtures, elliptically assymmetric, Johnson translation, Khintine, and Burr-Pareto-logistic. 1987 (0 471-82290-6) 230 pp. Aspects of Multivariate Statistical Theory Robb J. Muirhead A classical mathematical treatment of the techniques, distributions, and inferences based on the multivariate normal distributions. The main focus is on distribution theory—both exact and asymptotic. Introduces three main areas of current activity overlooked or inadequately covered in existing texts: noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis. 1982 (0 471-09442-0) 673 pp. Multivariate Observations G. A. F. Seber This up-to-date, comprehensive sourcebook treats data-oriented techniques and classical methods. It concerns the external analysis of differences among objects, and the internal analysis of how the variables measured relate to one another within objects. The scope ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables. 1984 (0 471-88104-X) 686 pp.

About the Author

About the author Theodore W. Anderson is Professor of Statistics and Economics at Stanford University. He is the author of The Statistical Analysis of Time Series, A Bibliography of Multivariate Statistical Analysis, and An Introduction to the Statistical Analysis of Data. Dr. Anderson is a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, the Royal Statistical Society, and the American Academy of Arts & Sciences. He is a member of the American Mathematical Society, the International Institute of Statistics, and the National Academy of Sciences. Dr. Anderson earned his PhD in mathematics at Princeton University.