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Categoracal Data Analysis / Alan Agresti / New York : Wiley-Interscience (2013)

Público ISBD Vista personalizada Título : Categoracal Data Analysis Tipo de documento: texto impreso Autores: Alan Agresti, Autor Mención de edición: 3a ed. Editorial: New York : Wiley-Interscience Fecha de publicación: 2013 Número de páginas: xvi, 714 p. Il.: ils. Dimensiones: 25 cm. ISBN/ISSN/DL: 978-0-470-46363-5 Idioma : Español (spa) Clasificación: 320.011 Teoría general: sistemas Nota de contenido: Introduction: Distributions and inference for categorical data -- Describing contingency tables -- Inference for two-way contingency tables -- Introduction to generalized linear models -- Logistic regression -- Building, checking, and applying logistic regression models -- Alternative modeling of binary response data -- Models for multinomial responses -- Loglinear models for contingency tables -- Building and extending loglinear models -- Models for matched pairs -- Clustered categorical data: marginal and transitional models -- Clustered categorical data: random effects models -- Other mixture models for discrete data -- Non-model-based classification and clustering -- Large- and small-sample theory for multinomial models -- Historical tour of categorical data analysis -- Appendix A: Statistical software for categorical data analysis -- Appendix B: Chi-squared distribution values. Link: https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=98611 Categoracal Data Analysis [texto impreso] / Alan Agresti, Autor  . -  3a ed. . - New York : Wiley-Interscience, 2013 . - xvi, 714 p. : ils. ; 25 cm. ISBN : 978-0-470-46363-5 Idioma : Español (spa) Clasificación: 320.011 Teoría general: sistemas Nota de contenido: Introduction: Distributions and inference for categorical data -- Describing contingency tables -- Inference for two-way contingency tables -- Introduction to generalized linear models -- Logistic regression -- Building, checking, and applying logistic regression models -- Alternative modeling of binary response data -- Models for multinomial responses -- Loglinear models for contingency tables -- Building and extending loglinear models -- Models for matched pairs -- Clustered categorical data: marginal and transitional models -- Clustered categorical data: random effects models -- Other mixture models for discrete data -- Non-model-based classification and clustering -- Large- and small-sample theory for multinomial models -- Historical tour of categorical data analysis -- Appendix A: Statistical software for categorical data analysis -- Appendix B: Chi-squared distribution values. Link: https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=98611 Categoracal Data Analysis Agresti, Alan - New York : Wiley-Interscience - 2013 Introduction: Distributions and inference for categorical data -- Describing contingency tables -- Inference for two-way contingency tables -- Introduction to generalized linear models -- Logistic regression -- Building, checking, and applying logistic regression models -- Alternative modeling of binary response data -- Models for multinomial responses -- Loglinear models for contingency tables -- Building and extending loglinear models -- Models for matched pairs -- Clustered categorical data: marginal and transitional models -- Clustered categorical data: random effects models -- Other mixture models for discrete data -- Non-model-based classification and clustering -- Large- and small-sample theory for multinomial models -- Historical tour of categorical data analysis -- Appendix A: Statistical software for categorical data analysis -- Appendix B: Chi-squared distribution values.

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Código de barras	Signatura	Tipo de medio	Ubicación	Sección	Estado
22-3899-01	519.535 A71	Libros	Bib. Esp. Ing Estadistica e Informática	Estanteria (Libros)	Disponible

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