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