Generalized estimating equations

Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems. Therefore, the main goal of th...

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Библиографические подробности
Главный автор: Ziegler, Andreas
Формат: Livre numérique
Язык:Anglais
Опубликовано: New York, NY : Springer New York [20..].
Cham : Springer Nature
Редактирование:1st ed. 2011.
Серии:Lecture Notes in Statistics 204
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Примечание: Description d'après consultation du 22 mai 2012
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Generalized estimating equations, Andreas Ziegler, New York, Springer, 2011, 1 vol. (XV-144 p.), Lecture Notes in Statistics, 978-1-4614-0498-9
• Generalized estimating equations, Andreas Ziegler, New York, Springer, 2011, 1 vol. (XV-144 p.), Lecture Notes in Statistics, 978-1-4614-0498-9
• Generalized Estimating Equations, Texte imprimé, 9781461405009
Оглавление:
  • The linear exponential family The quadratic exponential family Generalized linear models Maximum likelihood method Quasi maximum likelihood method Pseudo maximum likelihood method based on the linear exponential family Quasi generalized pseudo maximum likelihood method based on the linear exponential family Algorithms for solving the generalized estimating equations and the relation to the jack-knife estimator of variance Pseudo maximum likelihood estimation based on the quadratic exponential family Generalized method of moment estimation