Description |
xix, 511 pages : illustrations ; 23 cm |
Series |
Monographs on statistics and applied probability ; 37
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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) |
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10030 models statistical linear |
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Linear models (Statistics) |
Bibliography |
Includes bibliographical references (pages 479-499) and index |
Subject |
Mathematical models.
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Mathematical statistics.
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Linear models (Statistics)
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Author |
Nelder, John A. author
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LC no. |
90118409 |
ISBN |
0412317605 |
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