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Applied Multivariate Analysis (Springer Texts in Statistics)

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Synopses & Reviews

Publisher Comments:

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.

Synopsis:

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.

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

Table of Contents

Introduction * Vectors and Matrices * Multivariate Distributions and the Linear Model * Multivariate Regression Models * Seemingly Unrelated Regression Models * Multivariate Random and Mixed Models * Discriminant and Classification Analysis * Principal Component, Canonical Correlation, and Exploratory Factor Analysis * Cluster Analysis and Multidimensional Scaling * Structural Equation Models

Product Details

ISBN:
9781441929631
Author:
Timm, Neil H.
Publisher:
Springer
Location:
New York, NY
Subject:
Statistics
Subject:
Applied Multivariate Analysis
Subject:
Applied Multivariate Statistics
Subject:
Multivariate analysis
Subject:
Statistical Theory and Methods
Subject:
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Subject:
Statistics for Business/Economics/Mathematical Finance/Insurance
Subject:
Mathematics-Applied
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Mathematical statistics
Subject:
Economics_xStatistics
Copyright:
Edition Description:
1st Edition. Softcover version of original hardcover edition 2002
Series:
Springer Texts in Statistics
Publication Date:
20110701
Binding:
TRADE PAPER
Language:
English
Pages:
719
Dimensions:
235 x 178 mm

Related Subjects

Business » General
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Science and Mathematics » Materials Science » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Applied Multivariate Analysis (Springer Texts in Statistics) New Trade Paper
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Product details 719 pages Springer - English 9781441929631 Reviews:
"Synopsis" by , 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.
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