Springer Series in Statistics Semiparametric Theory and Missing Data
Type
Book
Authors
ISBN 10
0387324488
ISBN 13
9780387324487
Category
Unknown
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Publication Year
2006
Publisher
Pages
388
Series Name
Description
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. - from Amzon
Number of Copies
1
