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Foundations of linear and generalized linear models / Alan Agresti, Distinguished Professor Emeritus, University of Florida, Gainesville, FL, Visiting Professor, Harvard University, Cambridge, MA.

By: Material type: TextSeries: Wiley series in probability and statisticsPublisher: Hoboken, New Jersey : John Wiley & Sons Inc., [2015]Description: xiii, 444 pages ; IllusISBN:
  • 9781118730034
Subject(s): Summary: "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"--Summary: "This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover"--
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Gabriel Afolabi Ojo Central Library (Headquarters). QA299.8.A37 2015 (Browse shelf(Opens below)) Available 0199468

"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"--

"This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover"--

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