Likelihood and Least-Squares Approaches to the M-Cornered Hat

Abstract

A simple model of the m-cornered hat estimation problem is set up and solved by the method of maximum likelihood. The method is compared by simulation to a least squares method of Barnes and is shown to be inferior to it on the basis of mean square error. A bootstrap method of computing estimator performance is presented.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA515558

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  • Charles A. Greenhall

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  • California Institute of Technology

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  • Materials and Manufacturing Processes

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  • Abstracts
  • Algorithms
  • Computational Science
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  • Data Science
  • Estimators
  • Information Science
  • Jet Propulsion
  • Kalman Filters
  • Least Squares Method
  • Mathematical Analysis
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  • Probability
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