Semiparametric Theory and Missing Data
Anastasios TsiatisThis 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.
Категорії:
Рік:
2006
Видання:
1
Видавництво:
Springer
Мова:
english
Сторінки:
391
ISBN 10:
0387324488
ISBN 13:
9780387324487
Серії:
Springer Series in Statistics
Файл:
PDF, 2.55 MB
IPFS:
,
english, 2006