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Record Nr. |
UNINA9910781583203321 |
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Autore |
Berridge Damon M. |
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Titolo |
Multivariate generalized linear mixed models using R / / Damon M. Berridge, Robert Crouchley |
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Pubbl/distr/stampa |
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Boca Raton, Fla. : , : CRC Press, , 2011 |
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ISBN |
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0-429-19160-X |
1-4987-4070-7 |
1-4398-1327-2 |
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Descrizione fisica |
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1 online resource (284 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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R (Computer program language) |
Social sciences - Research - Mathematical models |
Social sciences - Research - Statistical methods |
Social sciences - Research - Data processing |
Multivariate analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Front Cover; Contents; List of Figures; List of Tables; List of Applications; List of Datasets; Preface; Acknowledgments; 1. Introduction; 2.Generalized linear models for continuous/interval scale data; 3. Generalized linear models for other types of data; 4. Family of generalized linear models; 5. Mixed models for continuous/interval scale data; 6. Mixed models for binary data; 7. Mixed models for ordinal data; 8. Mixed models for count data; 9. Family of two-level generalized linear models; 10. Three-level generalized linear models; 11. Models for multivariate data |
12. Models for duration and event history data13. Stayers, non-susceptibles and endpoints; 14. Handling initial conditions/state dependence in binary data; 15. Incidental parameters: an empirical comparison of fixed effects and random effects models; A. SabreR installation, SabreR commands, quadrature, estimation, endogenous effects; B. Introduction to R for Sabre; References |
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Sommario/riassunto |
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To provide researchers with the ability to analyze large and complex data sets using robust models, this book presents a unified framework |
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