Description

Book Synopsis
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.

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.

Efficient and Adaptive Estimation for

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    A Paperback by Chris A.J. Klaassen, Chris A.J. Klaassen, Ya'acov Ritov

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      Publisher: Springer New York
      Publication Date: Publication Date: 5/8/1998 12:00:00 AM
      ISBN13: 9780387984735, 978-0387984735
      ISBN10: 0387984739
      Also in:
      Mathematics Applied mathematics

      Description

      Book Synopsis
      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.

      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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