Fast highly efficient and robust one-step M-estimators of scale based on Qn
A parametric family of M-estimators of scale based on the Rousseeuw–Croux Qn-estimator is proposed; estimator’s bias and efficiency are studied. A low-complexity one-step M-estimator is obtained allowing a considerably faster computation with greater than 80% efficiency and the highest possible 50% breakdown point. Analytical and Monte Carlo modeling results confirm the effectiveness of the proposed approach.
Year of publication: |
2014
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Authors: | Smirnov, Pavel O. ; Shevlyakov, Georgy L. |
Published in: |
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 78.2014, C, p. 153-158
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Publisher: |
Elsevier |
Subject: | Robustness | M-estimator | Scale estimation | Influence function |
Saved in:
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