Generalized Linear Models
โ P. McCullagh, J. A. Nelder (auth.)
๐ Library
๐
1983
๐ Springer US
๐ English
โฆ LIBER โฆ
๐
Generalized Linear Models
โ Scribed by P. McCullagh, J. A. Nelder FRS (auth.)
- Publisher
- Springer US
- Year
- 1989
- Tongue
- English
- Leaves
- 530
- Series
- Monographs on Statistics and Applied Probability
- Category
- Library
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โฆ Table of Contents
Content:
Front Matter....Pages i-xix
Introduction....Pages 1-20
An outline of generalized linear models....Pages 21-47
Models for continuous data with constant variance....Pages 48-97
Binary data....Pages 98-148
Models for polytomous data....Pages 149-192
Log-linear models....Pages 193-244
Conditional likelihoods....Pages 245-284
Models for data with constant coefficient of variation....Pages 285-322
Quasi-likelihood functions....Pages 323-356
Joint modelling of mean and dispersion....Pages 357-371
Models with additional non-linear parameters....Pages 372-390
Model checking....Pages 391-418
Models for survival data....Pages 419-431
Components of dispersion....Pages 432-454
Further topics....Pages 455-468
Back Matter....Pages 469-511
๐ SIMILAR VOLUMES
Generalized Linear Models
โ P. McCullagh, John A. Nelder
๐ Library
๐
1989
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๐ English
The success of the first edition of <STRONG>Generalized Linear Models</STRONG> led to the updated Second Edition, which continues to provide 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
Generalized Linear Models
โ P. McCullagh, John A. Nelder
๐ Library
๐
1989
๐ Chapman and Hall / CRC
๐ English
The success of the first edition of <STRONG>Generalized Linear Models</STRONG> led to the updated Second Edition, which continues to provide 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
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โ P. McCullagh, John A. Nelder
๐ Library
๐
1989
๐ Chapman and Hall/CRC
๐ English
The success of the first edition of <STRONG>Generalized Linear Models</STRONG> led to the updated Second Edition, which continues to provide 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
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๐ Library
๐
1989
๐ Chapman and Hall/CRC
๐ English
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๐ Library
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2016
๐ English
http://data.princeton.edu/wws509/ This course deals with statistical models for the analysis of quantitative and qualitative data, of the types usually encountered in social science research. The statistical methods studied are the general linear model for quantitative responses (including multip