Téléchargez le livre : Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives



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Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2004-10-22



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Description
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin  has made fundamental contributions to the study of missing data.
Key features of the book include: Comprehensive coverage of an imporant area for both research and applications. Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques. Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference. Includes a number of applications from the social and health sciences. Edited and authored by highly respected researchers in the area.
Pages
440 pages
Collection
Wiley Series in Probability and Statistics
Parution
2004-10-22
Marque
Wiley
EAN papier
9780470090435
EAN PDF
9780470090442
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
440
Taille du fichier
2662 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
126,55 €

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