The Art Of Semiparametrics

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Semiparametric Theory and Missing Data

Semiparametric Theory and Missing Data
Author :
Publisher : Springer Science & Business Media
Total Pages : 392
Release :
ISBN-10 : 9780387373454
ISBN-13 : 0387373454
Rating : 4/5 (454 Downloads)

Book Synopsis Semiparametric Theory and Missing Data by : Anastasios Tsiatis

Download or read book Semiparametric Theory and Missing Data written by Anastasios Tsiatis and published by Springer Science & Business Media. This book was released on 2007-01-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.


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This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics