Comments and Suggestions on Efficiency Robustness.

Abstract

The introduction sets out some general available procedures to get large-sample efficient estimates of a location parameter when the governing distribution f is well-specified. The next section reviews some attempts to relax the f specification. In the third section is discussed how one chooses from a given repertoire of competing estimators. It is there advocated that their respective estimated standard errors be used to govern the choice and two methods are presented for estimating standard error nonparametrically for this purpose. Some Monte Carlo comparisons are presented in section 4 using sample-sizes of 30, 60, and 120 together with a short-tail and a long-tail f. The possibility of using sample-determined weightings of selected estimators is also briefly explored. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 24, 1970
Accession Number
AD0714813

Entities

People

  • Paul Switzer

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Efficiency
  • Estimators
  • Specifications
  • Standards

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.
  • Theoretical Analysis.