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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Name: Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
Brand: John Wiley & Sons Inc
SKU: 04443501
Price: 131.29 EUR
Availability: InStock
Author: Gelman
ISBN: 9780470090435

Gelman

Lingua

Inglese

Libro Rigido

Codice Libristo: 04443501

Casa editrice John Wiley & Sons Inc, luglio 2004

This book brings together a collection of articles on statistical methods relating to missing data a... Descrizione completa

Codice Libristo: 04443501

321 b

131.29 €

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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.