Conditional Best Linear Invariant Estimation of the Location and Scale Parameters of the Cauchy Distribution by the Use of Order Statistics

Abstract

Linear coefficients which can be applied to sample data from a Cauchy distribution to obtain estimates of the location and scale parameters are developed and tabled. Several previous works have presented such tables for nearly best linear unbiased estimation and best linear unbiased estimation of the parameters. The estimates developed in the paper are best in the sense that they possess minimum mean square error. By using exact values of the means, variances, and covariances of the Cauchy standardized order statistics and minimizing the mean square error functions, matrix equations are developed and solved to obtain the required coefficients.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1972
Accession Number
AD0744693

Entities

People

  • Ralph M. Spory Jr.

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Computer Programs
  • Computer Science
  • Computers
  • Covariance
  • Data Science
  • Equations
  • Estimators
  • Information Science
  • New York
  • Normal Distribution
  • Order Statistics
  • Probability Density Functions
  • Random Variables
  • Statistics
  • Two Dimensional
  • United States

Fields of Study

  • Mathematics

Readers

  • Statistical inference.