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Book Cover
Author McCullagh, P. (Peter), 1952- author

Title Generalized linear models / P. McCullagh and J.A. Nelder
Edition Second edition
Published Boca Raton ; London ; New York : Chapman and Hall : CRC, 1989


Location Call no. Vol. Availability
 W'BOOL  519.5 Mcc/Glm 1989  AVAILABLE
Description xix, 511 pages : illustrations ; 23 cm
Series Monographs on statistics and applied probability ; 37
Contents 1. Introduction -- 2. An outline of generalized linear models -- 3. Models for continuous data with constant variance -- 4. Binary data -- 5. Models for polytomous data -- 6. Log-linear models -- 7. Conditional likelihoods -- 8. Models with constant coefficient of variation -- 9. Quasi-likelihood functions -- 10. Joint modelling of mean and dispersion -- 11. Models with additional non-linear parameters -- 12. Model checking -- 13. Models for survival data -- 14. Components of dispersion -- 15. Further topics
Summary This book provides a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables
Analysis Linear models (Statistics)
10030 models statistical linear
Linear models (Statistics)
Bibliography Includes bibliographical references (pages 479-499) and index
Subject Mathematical models.
Mathematical statistics.
Linear models (Statistics)
Author Nelder, John A. author
LC no. 90118409
ISBN 0412317605