Efficient and adaptive estimation for semiparametric models
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Bibliographic Information
Efficient and adaptive estimation for semiparametric models
Springer, 1998
- : pbk
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Originally published: Baltimore : Johns Hopkins University Press, c1993, in series: Johns Hopkins series in the mathematical sciences
Includes bibliographical references (p. [527]-548) and indexes
Description and Table of Contents
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.
Table of Contents
Introduction.- Asymptotic Inference for (Finite-Dimensional) Parametric Models.- Information Bounds for Euclidean Parameters in Infinite-Dimensional Models.- Euclidean Parameters: Further Examples.- Information Bounds for Infinite-Dimensional Parameters.- Infinite-Dimensional Parameters: Further Examples: Construction of Examples.
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