Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data - Couverture souple
Livre 16 sur 40: Statistics for Social and Behavioral Sciences
Synopsis
This book is intended for social scientists who have an interest in and thorough basic knowledge of quantitative research.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
Marginal models are often the best way of answering research questions involving dependent observations. This comprehensive overview of the basic principles of marginal modeling offers a wide range of possible applications through many real world examples.
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Bergsma:Marginal Models (eng)
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Marginal Models
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Springer New York Nov 2010, 2010
ISBN 10 : 1441918736
ISBN 13 : 9781441918734
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show.In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models.This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (cmm.st), along with user friendly programs. 284 pp. Englisch. N° de réf. du vendeur 9781441918734
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Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data (Statistics for Social and Behavioral Sciences)
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Marginal Models
Edité par
Springer New York, 2010
ISBN 10 : 1441918736
ISBN 13 : 9781441918734
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is intended for social scientists who have an interest in and thorough basic knowledge of quantitative research.Loglinear Marginal Models.- Nonloglinear Marginal Models.- Marginal Analysis of Longitudinal Data.- Causal Analyses: Structural Equ. N° de réf. du vendeur 4172443
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Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data
Edité par
Springer-Verlag New York Inc., 2010
ISBN 10 : 1441918736
ISBN 13 : 9781441918734
Neuf
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Marginal Models | For Dependent, Clustered, and Longitudinal Categorical Data
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Taschenbuch. Etat : Neu. Marginal Models | For Dependent, Clustered, and Longitudinal Categorical Data | Wicher Bergsma (u. a.) | Taschenbuch | Statistics for Social and Behavioral Sciences | xi | Englisch | 2010 | Springer | EAN 9781441918734 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 107152596
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Marginal Models
Edité par
Springer New York, Springer US Nov 2010, 2010
ISBN 10 : 1441918736
ISBN 13 : 9781441918734
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (cmm.st), along with user friendly programs.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. N° de réf. du vendeur 9781441918734
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Marginal Models : For Dependent, Clustered, and Longitudinal Categorical Data
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show.In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models.This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (cmm.st), along with user friendly programs. N° de réf. du vendeur 9781441918734
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Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data (Statistics for Social and Behavioral Sciences)
Edité par
Springer, 2010
ISBN 10 : 1441918736
ISBN 13 : 9781441918734
Ancien ou d'occasion
Paperback
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Marginal models - Wicher Bergsma
Edité par
2010, 2010
ISBN 10 : 1441918736
ISBN 13 : 9781441918734
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Couverture souple
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