Categorical data analysis / / Alan Agresti

• Record Nr.: UNINA9910143189203321
• Autore: Agresti Alan
• Pubbl/distr/stampa: Hoboken, New Jersey : , : Wiley-Interscience, , 2002; ©2002
• ISBN: 1-280-36629-X; 9786610366293; 0-471-45876-7; 0-471-24968-8
• Edizione: [2nd ed.]
• Descrizione fisica: 1 online resource (736 p.)
• Collana: Wiley Series in Probability and Statistics
• Disciplina: 519.5/35
• Soggetti: Multivariate analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and indexes.
• Nota di contenuto: Categorical Data Analysis; Contents; Preface; 1. Introduction: Distributions and Inference for Categorical Data; 2. Describing Contingency Tables; 3. Inference for Contingency Tables; 4. Introduction to Generalized Linear Models; 5. Logistic Regression; 6. Building and Applying Logistic Regression Models; 7. Logit Models for Multinomial Responses; 8. Loglinear Models for Contingency Tables; 9. Building and Extending Loglinear/Logit Models; 10. Models for Matched Pairs; 11. Analyzing Repeated Categorical Response Data; 12. Random Effects: Generalized Linear Mixed Models for Categorical Responses13. Other Mixture Models for Categorical Data*; 14. Asymptotic Theory for Parametric Models; 15. Alternative Estimation Theory for Parametric Models; 16. Historical Tour of Categorical Data Analysis*; Appendix A. Using Computer Software to Analyze Categorical Data; Appendix B. Chi-Squared Distribution Values; References; Examples Index; Author Index; Subject Index
• Sommario/riassunto: Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference ""A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis.""-Statistics in Medicine on ; Categorical Data Analysis, First Edition The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in

Annuario Scienza Tecnologia e Società: 2024 Edizione speciale: Venti anni di scienza nella società

• Record Nr.: UNISA996644072003316
• Autore: Massimiano Bucchi
• Pubbl/distr/stampa: Societa editrice il Mulino Spa, 2024
• ISBN: 9788815408419; 881540841X
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia