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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical FamilyThis 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.

This comprehensive volume is a good summary of the latest developments in high-temperature superconductor (HTS) research and an excellent resource for researchers and managers working in this field. The book is divided into three chapters: coated conductors; BSCCO-based conductors, MgB2 , and other HTS materials; and control of microstructure. Papers include topics such as long-length flexible wires and tapes, melt-textured YBCO materials, processing of HTS materials, the current status and potential for YBCO-based coated conductors, BSCCO-based conductors, and MgB2 based wires. Proceedings of the symposium held at the 105th Annual Meeting of The American Ceramic Society, April 27-30, in Nashville, Tennessee; Ceramic Transactions, Volume 149.