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[null,"1.","Record Nr.",null,"UNINA9910143565703321"]
[null,null,"Autore",null,"Agresti Alan"]
[null,null,"Titolo",null,"An introduction to categorical data analysis / / Alan Agresti"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, NJ, : Wiley-Interscience, c2007"]
[null,null,"ISBN",null,"1-280-82681-9"]
[{"$nulls":4},"9786610826810"]
[{"$nulls":4},"0-470-11475-4"]
[{"$nulls":4},"0-470-11474-6"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (392 p.)"]
[null,null,"Collana",null,"Wiley series in probability and mathematical statistics"]
[null,null,"Disciplina",null,"519.5/35"]
[null,null,"Soggetti",null,"Multivariate analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 344-345) and indexes."]
[null,null,"Nota di contenuto",null,"An Introduction to Categorical Data Analysis; Contents; Preface to the Second Edition; 1. Introduction; 2. Contingency Tables; 3. Generalized Linear Models; 4. Logistic Regression; 5. Building and Applying Logistic Regression Models; 6. Multicategory Logit Models; 7. Loglinear Models for Contingency Tables; 8. Models for Matched Pairs; 9. Modeling Correlated, Clustered Responses; 10. Random Effects: Generalized Linear Mixed Models; 11. A Historical Tour of Categorical Data Analysis; Appendix A: Software for Categorical Data Analysis; Appendix B: Chi-Squared Distribution Values; Bibliography"]
[{"$nulls":4},"Index of ExamplesSubject Index; Brief Solutions to Some Odd-Numbered Problems"]
[null,null,null,"Sommario/riassunto","Praise for the First Edition \"\"This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended.\"\"-Short Book Reviews \"\"Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few.\"\"-Journal of Quality Technology \"\"Alan Agresti has written another brilliant account of the analysis of categorical data.\"\"-The Statistician The use of statistical methods for cate"]