Efficient and Adaptive Estimation for Semiparametric Models (Paperback, 1998 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	May 1998
First published:	1998
Authors:	Peter J. Bickel • Chris A.J. Klaassen • Yaacov Ritov • Jon A. Wellner
Dimensions:	235 x 155 x 36mm (L x W x T)
Format:	Paperback
Pages:	560
Edition:	1998 ed.
ISBN-13:	978-0-387-98473-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	0-387-98473-9
Barcode:	9780387984735

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