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portada applied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical family
applied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical familyapplied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical familyapplied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical family
Type
Physical Book
Illustrated by
Publisher
Author
Language
English
Pages
407
Format
Hardcover
Dimensions
23.5x15.8x3 cm
Weight
0.83 kg.
ISBN
047009043X
ISBN13
9780470090435
Categories

applied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical family

Andrew Gelman (Illustrated by) · Xiao-Li Meng (Illustrated by) · Wiley · Hardcover

applied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical family - Gelman, Andrew ; Meng, Xiao-Li

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Synopsis "applied bayesian modeling and causal inference from incomplete-data perspectives,an essential journey with donald rubin´s statistical family"

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.

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