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Logistic regression models / / Joseph M. Hilbe



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Autore: Hilbe Joseph Visualizza persona
Titolo: Logistic regression models / / Joseph M. Hilbe Visualizza cluster
Pubblicazione: Boca Raton : , : Chapman & Hall/CRC, , 2009
Edizione: 1st ed.
Descrizione fisica: 1 online resource (658 p.)
Disciplina: 519.5/36
Soggetto topico: Logistic regression analysis - Data processing
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Front cover; Contents; Preface; Chapter 1. Introduction; Chapter 2. Concepts Related to the Logistic Model; Chapter 3. Estimation Methods; Chapter 4. Derivation of the Binary Logistic Algorithm; Chapter 5. Model Development; Chapter 6. Inteactions; Chapter 7. Analysis of Model Fit; Chapter 8. Binomial Logistic Regression; Chapter 9. Overdispersion; Chapter 10. Ordered Logistic Regression; Chapter 11. Multinomial Logistic Regression; Chapter 12. Alternative Categorical Response Models; Chapter 13. Panel Models; Chapter 14. Other Types of Logistic-Based Models
Chapter 15. Exact Logistic RegressionConclusion; Appendix A: Brief Guide to Using Stata Commands; Appendix B: Stata and R Logistic Models; Appendix C: Greek Letters and Major Functions; Appendix D: Stata Binary Logistic Command; Appendix E: Derivation of the Beta Binomial; Appendix F: Likelihood Function of the Adaptive Gauss-Hermite Quadrature Method of Estimation; Appendix G: Data Sets; Appendix H: Marginal Effects and Discrete Change ; References; Author Index; Subject Index; Back cover
Sommario/riassunto: This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author examines the theoretical foundation of the models and describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available upon qualifying course adoption.
Titolo autorizzato: Logistic regression models  Visualizza cluster
ISBN: 0-429-14913-1
1-4200-7577-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910828391103321
Lo trovi qui: Univ. Federico II
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Serie: Texts in statistical science.