Semiparametric Theory and Missing Data

This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible. Read More

This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $62.70 (Expires Jun 27, 2024) 60 Day Rental: $83.60 (Expires Jul 27, 2024) 90 Day Rental: $104.50 (Expires Aug 26, 2024) 120 Day Rental: $125.40 (Expires Sep 25, 2024) 180 Day Rental: $135.85 (Expires Nov 24, 2024) Buy eBook Lifetime Access: $209.00 Title: Semiparametric Theory and Missing Data by Anastasios Tsiatis Publisher: Springer Nature Print ISBN: 9780387324487, 0387324488 eText ISBN: 9780387373454 Edition: 2006 2006 edition Format: PDF eBook	$62.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ