Minimax Parameter Estimation under Generalized Quadratic Loss with a Compact Parameter Space

Abstract

The subject matter of this work is minimax parameter estimation. In the present chapter the author intorduces some basic concepts and definitions from the theory of parameter estimation and through these arrives at the results and techniques which are used to search for minimax solutions to parameter estimation problems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1974
Accession Number
ADA004823

Entities

People

  • Padilla Lovera
  • Rafael Antonio

Organizations

  • University of Illinois Urbana–Champaign

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Communities of Interest

  • C4I
  • Human Systems

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  • Air Force
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  • Illinois
  • Probability
  • Probability Distributions
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  • Two Dimensional
  • United States
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  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • Space