ARE ROBUST ESTIMATORS REALLY NECESSARY?

David M Rocke, George W. Downs, Alan J. Rocke

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

Although there is substantial literature on robust estimation, most scientists continue to employ traditional methods. They remain skeptical about the practical benefit of employing robust techniques and doubt the realism of the long-tailed error distributions commonly employed by their proponents in Monte Carlo studies. A method of comparing the performance of estimators of location is developed and applied to a series of historical data sets in the physical sciences and to a collection of modern analytical-chemistry data sets. Both sets of results suggest that either severely trimmed means or modern robust estimators are required for optimal efficiency.

Original languageEnglish (US)
Pages (from-to)95-101
Number of pages7
JournalTechnometrics
Volume24
Issue number2
StatePublished - May 1982

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Robust Estimators
Necessary
Chemical analysis
Trimmed Mean
Robust Estimation
Historical Data
Monte Carlo Study
Chemistry
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Estimator
Series

ASJC Scopus subject areas

  • Mathematics(all)
  • Statistics and Probability

Cite this

Rocke, D. M., Downs, G. W., & Rocke, A. J. (1982). ARE ROBUST ESTIMATORS REALLY NECESSARY? Technometrics, 24(2), 95-101.

ARE ROBUST ESTIMATORS REALLY NECESSARY? / Rocke, David M; Downs, George W.; Rocke, Alan J.

In: Technometrics, Vol. 24, No. 2, 05.1982, p. 95-101.

Research output: Contribution to journalArticle

Rocke, DM, Downs, GW & Rocke, AJ 1982, 'ARE ROBUST ESTIMATORS REALLY NECESSARY?', Technometrics, vol. 24, no. 2, pp. 95-101.
Rocke DM, Downs GW, Rocke AJ. ARE ROBUST ESTIMATORS REALLY NECESSARY? Technometrics. 1982 May;24(2):95-101.
Rocke, David M ; Downs, George W. ; Rocke, Alan J. / ARE ROBUST ESTIMATORS REALLY NECESSARY?. In: Technometrics. 1982 ; Vol. 24, No. 2. pp. 95-101.
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