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: 9780470090435
Price: 605.69 RON
Availability: InStock

Autor: Gelman

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Legare: Copertă tare

Editura: John Wiley & Sons Inc

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Gelman

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2004

Pagini

440

EAN

9780470090435

ISBN

047009043X

Enbook ID

04443501

Editura

John Wiley & Sons Inc

Greutate

734

Dimensiuni

166 x 236 x 30

Descriere completă

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.

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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

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