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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 | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 3 september 2004 |
| ISBN13 | 9780470090435 |
| Uitgevers | John Wiley & Sons Inc |
| Pagina's | 440 |
| Afmetingen | 321 × 162 × 29 mm · 825 g |
| Taal en grammatica | Engels |
| Uitgever | Gelman, Andrew (Columbia University, NY) |
| Uitgever | Meng, Xiao-Li (Harvard University, MA) |
Bekijk alles van A Gelman ( bijv. Hardcover Book )
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