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Keywords
About this book
This book is about estimation in situations where we believe we have enough knowledge to model some features of the data parametrically, but are unwilling to assume anything for other features. Such models have arisen in a wide variety of contexts in recent years, particularly in economics, epidemiology, and astronomy. The complicated structure of these models typically requires us to consider nonlinear estimation procedures which often can only be implemented algorithmically. The theory of these procedures is necessarily based on asymptotic approximations.
Bibliographic Information
Book Title: Efficient and Adaptive Estimation for Semiparametric Models
Authors: Peter J. Bickel, Chris A.J. Klaassen, Ya'acov Ritov, Jon A. Wellner
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York 1998
Softcover ISBN: 978-0-387-98473-5Published: 08 May 1998
Edition Number: 1
Number of Pages: XXII, 560
Topics: Applications of Mathematics