Statistical Theory of Minimax Estimation,

Abstract

A probabilistic analysis of two modifications of the Chebyshev estimation problem is presented. Sufficient conditions that the estimate be unbiased are developed for minimizing the expected value of the maximum of the absolute error and minimizing the maximum possible absolute error. Application of these results to linear state estimation is discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1971
Accession Number
AD0739617

Entities

People

  • Howard Kaufman
  • Michael S. Howard

Organizations

  • Rensselaer Polytechnic Institute

Tags

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.