Multivariate data analysis / Joseph F. Hair, Jr. ... [et al.].
Contributor(s): Hair, Joseph F | Black, William C | Babin, Barry J | Anderson, Rolph E.Material type: TextPublisher: Australia : Cengage, c2019Edition: 8th ed.Description: xxviii, 813 p. : ill. ; 26 cm.ISBN: 978473756540; 1473756545.Subject(s): Multivariate analysisDDC classification: 519.535 Online resources: Worldcat Details
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|Text||EWU Library Reserve Section||Non-fiction||519.535 MUL 2019 (Browse shelf)||C-1||Not For Loan||29790|
|Text||EWU Library Circulation Section||Non-fiction||519.535 MUL 2019 (Browse shelf)||C-2||Checked out||17/12/2019||29791|
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|519.535 LIM 1999 Models for repeated measurements /||519.535 MCG 2008 Generalized, linear, and mixed models /||519.535 MCI 2007 Introduction to statistics for biology /||519.535 MUL 2019 Multivariate data analysis /||519.535 NEI 2006 An introduction to copulas /||519.535 PES 2010 A SAS/IML companion for linear models /||519.535 PUM 2011 Matrix tricks for linear statistical models :|
Includes bibliographical references and index.
Overview of multivariate methods --
Examining your data --
Exploratory factor analysis --
Cluster analysis --
Multiple regression analysis --
MANOVA:extending ANOVA --
Multiple discriminant analysis --
Logistic regression: regression with a binary dependent variable --
Structural equation modeling: an introduction --
SEM: confirmatory factor analysis --
Testing structural equation models --
Advanced SEM topics --
Partial least squares structural equation modeling (PLS-SEM).
« The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today's world of analytics.Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. »--
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