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 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.
Imprint | Springer |
Country of origin | United States |
Release date | March 2011 |
Availability | Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available. |
First published | August 2008 |
Authors | Anastasios Tsiatis |
Dimensions | 156 x 234 x 21mm (L x W x T) |
Format | Paperback - Trade |
Pages | 404 |
ISBN-13 | 978-0-387-51225-9 |
Barcode | 9780387512259 |
Categories | |
LSN | 0-387-51225-X |