A practical methods book providing complete, up-to-date non-technical guidance to multivariate methods. The emphasis is on real data, examples, and computer programs along with an integration of theory and application. Treats special topics, such as multidimensional scaling, cross-classified categorical data, latent structure analysis, and LISREL (linear structural relations).
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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