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Multivariate data analysis /

Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The eighth edition incorporates pivotal advances in technology that will assist students in gaining a firm understanding of statistical and managerial principles so as to develop a...

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Bibliographic Details
Main Authors: Hair, Joseph F., Jr., 1944
Group Author: Black, William C; Babin, Barry J; Anderson, Rolph E
Published: Cengage,
Publisher Address: Andover, Hampshire, United Kingdom :
Publication Dates: [2019]
Literature type: Book
Language: English
Edition: Eighth edition.
Subjects:
Multivariate analysis
Summary: Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The eighth edition incorporates pivotal advances in technology that will assist students in gaining a firm understanding of statistical and managerial principles so as to develop a "comfort zone" not only for the statistical, but also the practical issues involved.
Carrier Form: xvii, 813 pages : illustrations ; 26 cm
Bibliography: Includes bibliographical references and index.
ISBN: 9781473756540
1473756545
Index Number: QA278
CLC: O212.4
Call Number: O212.4/H153/8th ed.
Contents: 1. Overview of multivariate methods -- Section I: Preparing for multivariate analysis -- Chapter 2: Examining your data -- Section II: Interdependence techniques -- Chapter 3: Exploratory factor analysis -- Chapter 4: Cluster analysis -- Section III: Dependence techniques -- metric outcomes -- Chapter 5: Multiple regression analysis -- Chapter 6: MANOVA:extending ANOVA -- Section IV: Dependence techniques -- non-metric outcomes -- Chapter 7: Multiple discriminant analysis -- Chapter 8: Logistic regression: regression with a binary dependent variable -- Section V: Moving beyond the basics --

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