Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives pdf epub mobi txt 电子书下载 2024

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Gelman, Andrew (EDT)/ Meng, Xiao-Li (EDT)/ Rubin, Donald B. (EDT)

Wiley

2004-9-3

440

USD 125.00

Hardcover

9780470090435

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发表于2024-06-24

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives pdf epub mobi txt 电子书下载 2024

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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:* Comprehensive coverage of an imporant area for both research and applications.* Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques.* Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference.* Includes a number of applications from the social and health sciences.* Edited and authored by highly respected researchers in the area.

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives 下载 mobi epub pdf txt 电子书