Franklin

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

Author/Creator:
Agresti, Alan, author.
Publication:
Hoboken, New Jersey : John Wiley & Sons Inc., [2015]
Format/Description:
Book
xiii, 444 pages ; 25 cm.
Series:
Wiley series in probability and statistics
Wiley series in probability and statistics
Status/Location:
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Details

Subjects:
Mathematical analysis -- Foundations.
Linear models (Statistics).
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"-- Provided by publisher.
Contents:
Introduction to linear and generalized linear models
Linear models: least squares theory
Normal linear models: statistical inference
Generalized linear models: models fitting and inference
Models for binary data
Multinomial response models
Models for count data
Quasi-likelihood methods
Modeling correlated responses
Bayesian linear and generalized linear modeling
Extensions of generalized linear models.
Notes:
Includes bibliographical references (pages 410-426) and indexes.
Other format:
Online version: Agresti, Alan. Foundations of linear and generalized linear models.
ISBN:
9781118730034
1118730038
9781118730058
1118730054
OCLC:
889522641