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Science/Engineering Essentials of Toxic Chemical Risk: Science and Society
Science/Engineering Telefoncoaching: So machen Sie aus Ihren Mitarbeitern Telefonprofis
Science/Engineering Wireless Communications (Wiley - IEEE)
Science/Engineering Posttraumatische Belastungsstörungen (German Edition)
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Science/Engineering Advances in Chemical Physics - Volume 15: Stochastic Processes in Chemical Physics
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Science/Engineering Reviews of Environmental Contamination and Toxicology 184 by George W. Ware
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Science/Engineering Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (Wiley Series in Probability and Statistics)
Posted on 2010-03-15
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ISBN: 047009043X Title: Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (Wiley Series in Probability and Statistics) Author: Rubin, Donald B.; Gelman, Andrew.; Meng, Xiao-Li Publisher: John Wiley & Sons Publication Date: 2004-09-15 Number Of Pages: 436 Average Amazon Rating: 5.0 2.3 Mb pdf 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. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data. Key features of the book include: Where's the real link - there's only porno crap Is it possible to repost this book?
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