The Generalized Estimating Equations (GEE) have become a popular approach that provides a sufficient solution for the data that occur in correlation condition. An important feature of the GEE methodology takes into account the type of correlation effect ("working correlation structure"). In this book, initially we will give an overview of Generalized Linear Models (GLM) algorithms and their techniques of getting estimates; which the GEEs had presented in the GLM environment.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Generalized Estimating Equations (GEE) have become a popular approach that provides a sufficient solution for the data that occur in correlation condition. An important feature of the GEE methodology takes into account the type of correlation effect ('working correlation structure'). In this book, initially we will give an overview of Generalized Linear Models (GLM) algorithms and their techniques of getting estimates; which the GEEs had presented in the GLM environment. 76 pp. Englisch. N° de réf. du vendeur 9783330084049
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Taschenbuch. Etat : Neu. Neuware -The Generalized Estimating Equations (GEE) have become a popular approach that provides a sufficient solution for the data that occur in correlation condition. An important feature of the GEE methodology takes into account the type of correlation effect ('working correlation structure'). In this book, initially we will give an overview of Generalized Linear Models (GLM) algorithms and their techniques of getting estimates; which the GEEs had presented in the GLM environment.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. N° de réf. du vendeur 9783330084049
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Taschenbuch. Etat : Neu. Application Of Generalized Estimating Equations (GEE) | Fatima Yassin | Taschenbuch | 76 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330084049 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 109133522
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