<p>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.</p>

Efficient and Adaptive Estimation for Semiparametric Models (1384)

Science & Math

Ritov, Ya'Acov

Bickel, Peter J.

Klaassen, Chris A.J.

Wellner, Jon A.

Mathematics

Springer

<p>Originating with the 1983 Mathematical Sciences Lectures at Johns Hopkins given by Peter J. Bickel and Jon A. Wellner, this volume is about estimation in situations where enough is known to model some features of the data parametrically but not enough is known 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 focus is on asymptotic theory, and the scope is limited to models for independent, identically distributed observations. Annotation copyright Book News, Inc. Portland, Or.</p>

Efficient and Adaptive Estimation for Semiparametric Models (Johns Hopkins Studies in the Mathematical Sciences)

Wellner, Jon

Bickel, Dr. Peter J.

Klaassen, Dr. Chris A. J.

Ritov, Dr. Ya'acov

Wellner, Professor Jon A.

The Johns Hopkins University Press

See the best price to sell, buy, or rent books by Klaassen, Chris A.J.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Klaassen, Chris A.J.