Multivariate Analysis: Methods & Applications

About this book

The emphasis is on real data, examples, and computer programs along with an integration of theory and application.

Contents

Selected Aspects of Multivariate Analysis.; Principal Components Analysis.; Factor Analysis.; Multidimensional Scaling.; Cluster Analysis.; Multiple Regression.; Some Practical Considerations: Data Analysis Problems.; Cross--Classified Frequency Data.; Canonical Correlation Analysis.; Discriminant Analysis: The Two--Group Problem.; Multiple Discriminant Analysis and Related Topics.; Linear Structural Relations (LISREL).; Latent Structure Analysis.; Appendixes.; References.; Index.

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Biography

About the authors William R. Dillon is Professor of Marketing at the University of Massachusetts. Dr. Dillon is the co--author of Discrete Discriminant Analysis and is on the editorial boards of the Journal of Business Research and Journal of Marketing Research. Dr. Dillon earned his PhD in marketing and quantitative methods at the City University of New York. Matthew Goldstein is President of the Research Foundation of the City University of New York and Professor of Statistics at Baruch College, City University of New York. He is a co--author of Discrete Discriminant Analysis and intermediate Statistical Methods. Dr Goldstein has served as president of the New York Area Chapter of the American Statistical Association. He earned his PhD in statistics at the University of Connecticut.