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...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2011. |
| Serier: | Lecture Notes in Statistics
204 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Description d'après consultation du 22 mai 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| 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 |
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| 020 | |a 9781461404996 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519.5 | ||
| 084 | |a 62J99. 2010 | ||
| 084 | |a 62H12. 2010 | ||
| 084 | |a 62J12. 2010 | ||
| 100 | 1 | |a Ziegler, Andreas. | |
| 245 | 1 | 0 | |a Generalized estimating equations |c Andreas Ziegler. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Statistics |v 204 |x 2197-7186 | |
| 500 | |a Description d'après consultation du 22 mai 2012 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p. 133-141 Index p. 142-143 | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 this book is to give a systematic presentation of the original generalized estimating equations (GEE) and some of its further developments. Subsequently, the emphasis is put on the unification of various GEE approaches. This is done by the use of two different estimation techniques, the pseudo maximum likelihood (PML) method and the generalized method of moments (GMM). The author details the statistical foundation of the GEE approach using more general estimation techniques. The book could therefore be used as basis for a course to graduate students in statistics, biostatistics, or econometrics, and will be useful to practitioners in the same fields | ||
| 650 | |a Familles exponentielles (statistique) | ||
| 650 | |a Equations d'estimation généralisées | ||
| 650 | |a Méthode des moments (statistique) | ||
| 650 | |a Maximum de pseudo-vraisemblance (statistique) | ||
| 650 | |a Maximum de quasi-vraisemblance (statistique) | ||
| 776 | 0 | |0 154803227 |t Generalized estimating equations |f Andreas Ziegler |c New York |n Springer |d 2011 |p 1 vol. (XV-144 p.) |s Lecture Notes in Statistics |z 978-1-4614-0498-9 | |
| 776 | 0 | |0 154803227 |t Generalized estimating equations |f Andreas Ziegler |c New York |n Springer |d 2011 |p 1 vol. (XV-144 p.) |s Lecture Notes in Statistics |z 978-1-4614-0498-9 | |
| 776 | 0 | |t Generalized Estimating Equations |b Texte imprimé |z 9781461405009 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-4614-0499-6 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-2NPKV786-7 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750618175 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4614-0499-6 |z Accès Université d'Orléans | |
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