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Generalized Linear Models
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Author(s):
P. McCullagh
,
J. A. Nelder
Publication date
(Print):
1989
Publisher:
Springer US
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Exponential Random Graph Models
Author and book information
Book
ISBN (Print):
978-0-412-31760-6
ISBN (Electronic):
978-1-4899-3242-6
Publication date (Print):
1989
DOI:
10.1007/978-1-4899-3242-6
SO-VID:
6a147d2f-222a-4a24-a3c4-48e50f11264d
License:
http://www.springer.com/tdm
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Book chapters
pp. 1
Introduction
pp. 21
An outline of generalized linear models
pp. 48
Models for continuous data with constant variance
pp. 98
Binary data
pp. 149
Models for polytomous data
pp. 193
Log-linear models
pp. 245
Conditional likelihoods
pp. 285
Models for data with constant coefficient of variation
pp. 323
Quasi-likelihood functions
pp. 357
Joint modelling of mean and dispersion
pp. 372
Models with additional non-linear parameters
pp. 391
Model checking
pp. 419
Models for survival data
pp. 432
Components of dispersion
pp. 455
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