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Foundations of linear and generalized linear models / Alan Agresti.

Por: Tipo de material: TextoTextoIdioma: Inglés Series Wiley series in probability and statisticsEditor: Hoboken, New Jersey : John Wiley & Sons Inc., c2015Descripción: xiii, 444 páginasISBN:
  • 9781118730034
Tema(s): Formatos físicos adicionales: Online version:: Foundations of linear and generalized linear modelsClasificación CDD:
  • 003.74 23
Resumen: "This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover. Written by a prolific academic, researcher, and textbook writer, Foundations of Linear and Generalized Linear Models is soon to become the gold standard by which all existing textbooks on the topic will be compared. While the emphasis is clearly and succinctly on theoretical underpinnings, applications in "R" are presented when they help to elucidate the content or promote practical model building. Each chapter contains approximately 15-20 exercises, primarily for readers to practice and extend the theory, but, also to assimilate the ideas by doing some data analysis. The carefully crafted models and examples convey basic concepts and do not get mired down in non-trivial considerations. An author-maintained web site includes, among other numerous pedagogical supplements, analyses that parallel the "R" routines from the book in SAS, SPSS and Stata"-- Provided by publisher.
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Tipo de ítem Biblioteca actual Colección Signatura topográfica Estado Fecha de vencimiento Código de barras Reserva de ítems
Libros Libros Ciencias General General 003.74 A277f c2015 Disponible 00424304
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Incluye índices.

Bibliografía: páginas 410-426.

"This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover. Written by a prolific academic, researcher, and textbook writer, Foundations of Linear and Generalized Linear Models is soon to become the gold standard by which all existing textbooks on the topic will be compared. While the emphasis is clearly and succinctly on theoretical underpinnings, applications in "R" are presented when they help to elucidate the content or promote practical model building. Each chapter contains approximately 15-20 exercises, primarily for readers to practice and extend the theory, but, also to assimilate the ideas by doing some data analysis. The carefully crafted models and examples convey basic concepts and do not get mired down in non-trivial considerations. An author-maintained web site includes, among other numerous pedagogical supplements, analyses that parallel the "R" routines from the book in SAS, SPSS and Stata"-- Provided by publisher.

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