Foundations of linear and generalized linear models / Alan Agresti.

Author/creator Agresti, Alan
Format Electronic
Publication InfoHoboken, New Jersey : John Wiley & Sons Inc., [2015]
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesWiley series in probability and statistics
Abstract "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.
Abstract "This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Agresti, Alan, author. Foundations of linear and generalized linear models Hoboken, New Jersey : John Wiley & Sons Inc., [2015] 9781118730034
Genre/formElectronic books.
LCCN 2014037471
ISBN9781118730058 (ePub)
ISBN9781118730300 (Adobe PDF)

Availability

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Electronic Resources Access Content Online ✔ Available