Multivariate data analysis
著者
書誌事項
Multivariate data analysis
Pearson Prentice Hall, Pearson Education International, c2006
6th ed., Pearson international edition
- [: pbk]
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注記
Other authors: William C. Black, Barry J. Babin, Rolph E. Anderson, Ronald L. Tatham
Includes bibliographical references and index
Created due to the difference in publication year
内容説明・目次
内容説明
For graduate-level courses in Marketing Research, Research Design and Data Analysis.
Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.
目次
Chapter 1: IntroductionChapter 2: Examining Your Data
Chapter 3: Factor Analysis
Chapter 4: Regression
Chapter 5: Multiple Discriminant Analysis
Chapter 6: Manova
Chapter 7: Conjoint Analysis
Chapter 8: Cluster Analysis
Chapter 9: MDS
Chapter 10: Structural Equation Modeling: An Introduction
Chapter 11: SEM: Confirmatory Factor Analysis
Chapter 12: SEM: Testing A Structural Model
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