Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics - A Gelman - Books - John Wiley & Sons Inc - 9780470090435 - July 23, 2004
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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics

A Gelman

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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics

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.

436 pages, Illustrations

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 23, 2004
ISBN13 9780470090435
Publishers John Wiley & Sons Inc
Pages 440
Dimensions 321 × 162 × 29 mm   ·   734 g
Language English  
Editor Gelman, Andrew (Columbia University, NY)
Editor Meng, Xiao-Li (Harvard University, MA)

See all of A Gelman ( e.g. Hardcover Book )