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MEGA VÝHODNÉ
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.
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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.
schovat popis
- Nakladatel: Springer-Verlag New York Inc.
- Kód:
- Rok vydání: 2006
- Jazyk: Angličtina
- Vazba: Vázaná
- Počet stran: 388
- Šířka balení: 24.2 cm
- Výška balení: 16.7 cm
- Hloubka balení: 3.1 cm
- Váha balení: 768 g
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