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: 122.59 EUR
Availability: InStock

Автор: Gelman

Език:

Корици: С твърди корици

Издател: John Wiley & Sons Inc

Наличност: Външен склад

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122.59 € 239.76 лв

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

Информация за книгата

Автор

Gelman

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2004

страници

440

EAN

9780470090435

ISBN

047009043X

Enbook ID

04443501

Издател

John Wiley & Sons Inc

Теглоt

734

Размери

166 x 236 x 30

Пълно описание

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

Информация за книгата

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