Directionally Efficient Robust Estimators of Location Via Exponential Embedding.

Abstract

A general method is presented for constructing a location estimator which is asymptotically efficient at any two different location-scale families of symmetric distributions as well as at an appropriately defined class of distributions lying in between. The method works by embedding the two families in a comprehensive parametric model and identifying the estimator with the MLE(Maximum Likelihood Estimation). The case when the families are Normal and Double exponential is examined in detail. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1983
Accession Number
ADA130525

Entities

People

  • Wei-yin Loh

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Data Science
  • Efficiency
  • Embedding
  • Estimators
  • Information Science
  • Mathematics
  • Optimal Estimators
  • Order Statistics
  • Probability
  • Probability Distributions
  • Random Variables
  • Simulations
  • Statistics
  • United States
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Statistical inference.