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

Format:

Book

Author/Creator:

Agresti, Alan, author.

Contributor:

Lippincott Library Book Endowment Fund.

Series:

Wiley series in probability and statistics

Language:

English

Subjects (All):

Mathematical analysis--Foundations.

Mathematical analysis.

Linear models (Statistics).

Physical Description:

xiii, 444 pages ; 25 cm.

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons Inc., [2015]

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.

Local Notes:

Acquired for the Penn Libraries with assistance from the Lippincott Library Book Endowment Fund.

Other Format:

Online version: Agresti, Alan. Foundations of linear and generalized linear models.

ISBN:

9781118730034

1118730038

9781118730058

1118730054

OCLC:

889522641