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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
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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2004. gada 13. septembris |
| ISBN13 | 9780470090435 |
| Izdevēji | John Wiley & Sons Inc |
| Lapas | 440 |
| Izmēri | 321 × 162 × 29 mm · 825 g |
| Valoda | Angļu |
| Redaktors | Gelman, Andrew (Columbia University, NY) |
| Redaktors | Meng, Xiao-Li (Harvard University, MA) |
