Applied Multivariate Analysis

Neil H. Timm

ISBN 10: 1441929630 / ISBN 13: 9781441929631

Published by Springer New York Apr 2013, 2013

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0. This textbook provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0. The book includes an overview of vectors, matrices, multivariate distribution theory, and multivariate linear models. Topics discussed include multivariate regression, multivariate analysis of variance for fixed and mixed models, seemingly unrelated regression models and repeated measurement models. While standard procedures for estimating model parameters and testing multivariate hypotheses, as well as simultaneous test procedures, are discussed and illustrated in the text, the text also includes tests of multivariate normality with chi-square and beta plots, tests of multivariate nonadditivity, tests of covariance structure, tests of nonnested hypotheses, and the assessment of model assumptions. Other topics illustrated in the text include discriminant and classification analysis, principal component analysis, canonical correlation analysis, exploratory factor analysis, cluster analysis, multidimension scaling, and structural equation modeling. The text should appeal to practitioners, researchers, and applied statisticians. It may be used in a one-semester course in applied multivariate analysis for practitioners and researchers, or as a two-semester course for majors in applied statistics. Because most data analyzed in the social and behavioral sciences and other disciplines involve many continuous variables, the techniques and examples. SAS programs for this book are available on the Springer website. 720 pp. Englisch.

Seller Inventory # 9781441929631

Bibliographic Details

• Title: Applied Multivariate Analysis
• Publisher: Springer New York Apr 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 1441929630
• ISBN 13: 9781441929631
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 39D millimeters 254 millimeters width by 178 millimeters height by 39 millimeters depth
• Weight: 1330 grams

About this title

Synopsis

This book will present the latest theoretical and practical developments in multivariate analysis, with an emphasis on applications to social science.

About the Author

"This book is more than an up-to-date textbook on multivariate analysis. It could enable SAS users to take full and informed advantage of the many options offered in the SAS procedures. For non-SAS users, the clear statement of the models should enable them to fit and interpret them with other software."

ISI Short Book Reviews, Vol. 23/2, August 2003