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: 116.09 EUR
Availability: InStock

Autor: Gelman

Jazyk:

Väzba: Pevná

Vydavateľ: John Wiley & Sons Inc

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116.09 €

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

Informácie o knihe

Autor

Gelman

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2004

Stránok

440

EAN

9780470090435

ISBN

047009043X

Enbook ID

04443501

Vydavateľ

John Wiley & Sons Inc

Hmotnosť

734

Rozmery

166 x 236 x 30

Kompletný popis

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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