A class of robust and fully efficient regression estimators

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190
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2002
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  • DOI 10.1214/aos/1021379866
  • OpenAlex ID W1997815969
  • Type Article
  • Language EN
  • Published 01 Apr 2002
  • Volume 30 (2)
  • Pages 583–616
  • Source The Annals of Statistics
  • Publisher Institute of Mathematical Statistic…
  • FWCI 3.45
  • Countries 2
  • Institutions 3
  • Added 24 Jun 2016
  • Updated 28 Oct 2026
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A class of robust and fully efficient regression estimators

Article 2002 EN Bronze

This paper introduces a new class of robust estimators for the linear regression model. They are weighted least squares estimators, with weights adaptively computed using the empirical distribution of the residuals of an initial robust estimator. It is shown that under certain general conditions the asymptotic breakdown points of the proposed estimators are not less than that of the initial estima…

190

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17

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2

Authors

3.45

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2 authors
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1 Daniel Gervini University of Zurich (CH) Universidad de Buenos Aires (AR)
2 Vı́ctor J. Yohai Consejo Nacional de Investigac… (AR) University of Zurich (CH) +1 —

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