Semiparametric Theory and Missing Data
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3392 Kč 3 734 Kč
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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.
| Autor: | Tsiatis, Anastasios A. |
| Nakladatel: | Springer-Verlag New York Inc. |
| ISBN: | 9780387324487 |
| Rok vydání: | 2006 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 388 |
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