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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 | Książki Hardcover Book (Książka z twardym grzbietem i okładką) |
| Wydane | 3 września 2004 |
| ISBN13 | 9780470090435 |
| Wydawcy | John Wiley & Sons Inc |
| Strony | 440 |
| Wymiary | 321 × 162 × 29 mm · 825 g |
| Język | Angielski |
| Redaktor | Gelman, Andrew (Columbia University, NY) |
| Redaktor | Meng, Xiao-Li (Harvard University, MA) |
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