Articles liés à Correlated Data Analysis: Modeling, Analytics, and...

Correlated Data Analysis: Modeling, Analytics, and Applications - Couverture rigide

Livre 91 sur 160: Springer Series in Statistics

Song, Peter X. -K.

 
9780387713922: Correlated Data Analysis: Modeling, Analytics, and Applications
Couverture rigide
ISBN 10 : 0387713921 ISBN 13 : 9780387713922
Editeur : Springer-Verlag New York Inc., 2007

Synopsis

Aimed at graduate students and researchers, this book deals with recent developments in correlated data analysis. It uses the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models, such as correlated directional data and correlated compositional data. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas and state space models for longitudinal data from long time series. Various real-world data examples, numerical illustrations and software usage tips are included too. Applied statisticians and data analysts in many subject-matter fields will find this text essential.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer-Verlag New York Inc.
Date d'édition
2007
Langue
anglais
ISBN 10 
0387713921
ISBN 13 
9780387713922
Reliure
Relié
Nombre de pages
368
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