Efficient and Adaptive Estimation for Semiparametric Models 1998 Edition Contributor(s): Bickel, Peter J. (Author), Klaassen, Chris A. J. (Author), Ritov, Ya'acov (Author) |
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ISBN: 0387984739 ISBN-13: 9780387984735 Publisher: Springer OUR PRICE: $132.99 Product Type: Paperback Published: May 1998 Annotation: 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. |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - General |
Dewey: 519.544 |
LCCN: 98017538 |
Series: 1384 |
Physical Information: 1.08" H x 6.08" W x 9.21" (1.79 lbs) 588 pages |
Descriptions, Reviews, Etc. |
Publisher Description: This book deals with estimation in situations in which there is believed to be enough information to model parametrically some, but not all of the features of a data set. Such models have arisen in a wide context in recent years, and involve new nonlinear estimation procedures. Statistical models of this type are directly applicable to fields such as economics, epidemiology, and astronomy. |