An Introduction to Generalized Linear Models, First Edition by Annette Dobson

An Introduction to Generalized Linear Models, First Edition by Annette Dobson

An undergraduate-level introduction to the topic of generalized linear models An Introduction to Generalized Linear Models-a new edition of An Introduction to Statistical Modelling-demonstrates how generalized linear models provide a unifying framework for many commonly used multivariate statistical methods, including multiple regression and analysis of variance or covariance for continuous response data, logistic regression for binary responses, and log-linear models for counted responses. The theory for these models is developed using the exponential family of distributions, maximum likelihood estimation, and likelihood ration tests. Chapters on each of the main types of generalized linear models are included. The statistical computing program GLIM , developed to fit these models to data, is used extensively. Other programs, particularly MINITAB, are used to illustrate particular issues. The student is assumed to have a working knowledge of basic statistical concepts and methods, at the level of most introductory statistics courses, and some acquaintance with calculus and matrix algebra. Methods described in this text are widely applicable for analyzing data from the fields of medicine, agriculture, biology, engineering, industrial experimentation, and the social sciences.

Adrian Barnett is a senior research fellow at Queensland University of Technology, Australia. Annette Dobson is a Professor of Biostatistics at The University of Queensland, Australia. Both are experienced medical statisticians with a commitment to statistical education and have previously collaborated in research in the methodological developments and applications of biostatistics, especially to time series data. Among other projects, they worked together on revising the well-known textbook An Introduction to Generalized Linear Models, third edition, Chapman Hall/CRC, 2008. In their new book they share their knowledge of statistical methods for examining seasonal patterns in health.

SKU	Unavailable
ISBN 13	9780412311109
ISBN 10	0412311100
Title	An Introduction to Generalized Linear Models, First Edition
Author	Annette Dobson
Series	Chapman And Hall Crc Texts In Statistical Science
Condition	Unavailable
Binding Type	Hardback
Publisher	Taylor & Francis Ltd
Year published	1990-02-01
Number of pages	176
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.