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.
- ISBN10 0387373454
- ISBN13 9780387373454
- Publish Date 1 January 2006
- Publish Status Active
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Format eBook
- Language English