Applied MANOVA and Discriminant Analysis, Second Edition

Free Download Applied MANOVA and Discriminant Analysis, Second Edition By Carl J. Huberty, Stephen Olejnik(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)
2006 | 496 Pages | ISBN: 0471468150 | PDF | 7 MB
A complete introduction to discriminant analysis--extensively revised, expanded, and updated This Second Edition of the classic book, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis. Thoroughly updated and revised, this book continues to be essential for any researcher or student needing to learn to speak, read, and write about discriminant analysis as well as develop a philosophy of empirical research and data analysis. Its thorough introduction to the application of discriminant analysis is unparalleled. Offering the most up-to-date computer applications, references, terms, and real-life research examples, the Second Edition also includes new discussions of MANOVA, descriptive discriminant analysis, and predictive discriminant analysis. Newer SAS macros are included, and graphical software with data sets and programs are provided on the book's related Web site. The book features:Detailed discussions of multivariate analysis of variance and covariance An increased number of chapter exercises along with selected answers Analyses of data obtained via a repeated measures design A new chapter on analyses related to predictive discriminant analysis Basic SPSS(r) and SAS(r) computer syntax and output integrated throughout the book Applied MANOVA and Discriminant Analysis enables the reader to become aware of various types of research questions using MANOVA and discriminant analysis; to learn the meaning of this field's concepts and terms; and to be able to design a study that uses discriminant analysis through topics such as one-factor MANOVA/DDA, assessing and describing MANOVA effects, and deleting and ordering variables.Content: Chapter 1 Discriminant Analysis in Research (pages 3-14): Chapter 2 Preliminaries (pages 15-32): Chapter 3 Group Separation (pages 35-59): Chapter 4 Assessing MANOVA Effects (pages 61-79): Chapter 5 Describing MANOVA Effects (pages 81-102): Chapter 6 Deleting and Ordering Variables (pages 103-116): Chapter 7 Reporting DDA Results (pages 117-127): Chapter 8 Factorial MANOVA (pages 131-162): Chapter 9 Analysis of Covariance (pages 163-192): Chapter 10 Repeated?Measures Analysis (pages 193-225): Chapter 11 Mixed?Model Analysis (pages 227-251): Chapter 12 Classification Basics (pages 255-267): Chapter 13 Multivariate Normal Rules (pages 269-284): Chapter 14 Classification Results (pages 285-293): Chapter 15 Hit Rate Estimation (pages 295-314): Chapter 16 Effectiveness of Classification Rules (pages 315-333): Chapter 17 Deleting and Ordering Predictors (pages 335-347): Chapter 18 Two?Group Classification (pages 349-360): Chapter 19 Nonnormal Rules (pages 361-374): Chapter 20 Reporting PDA Results (pages 375-383): Chapter 21 PDA?Related Analyses (pages 385-389): Chapter 22 Issues in PDA and DDA (pages 393-400): Chapter 23 Problems in PDA and DDA (pages 401-410):

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