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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: 45811 HUF
Availability: InStock
Author: Gelman
ISBN: 9780470090435

Gelman

Language

English

Book Hardback

Libristo code: 04443501

Publishers John Wiley & Sons Inc, July 2004

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

Libristo code: 04443501

305 b

45 811 Ft

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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.