Efficient and Adaptive Estimation for Semiparametric Models [Paperback]

Peter J. Bickel (Author), Chris A.J. Klaassen (Author), Ya'acov Ritov (Author), Jon A. Wellner (Author)

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Product Details

Paperback: 609 pages
Publisher: Springer; 1 edition (May 8 1998)
Language: English
ISBN-10: 0387984739
ISBN-13: 978-0387984735
Product Dimensions: 2.3 x 1.5 x 0.3 cm
Shipping Weight: 794 g
Amazon Bestsellers Rank: #179,051 in Books (See Top 100 in Books)

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Product 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.

Book Info

Concentrates on 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. Paper. DLC: Estimation theory.

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