2012
DOI: 10.1016/j.csda.2011.10.023
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The least trimmed quantile regression

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Cited by 21 publications
(13 citation statements)
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“…The least trimmed instrumental quantile regression is a robustness check capable of reducing the outliers' influence on the explanatory variable (Neykov et al ., 2012) and removing dirty estimators and inefficient statistics. The idea is to use a α -trimmed mean of the sample after the proportion of largest and smallest observations are removed from the dataset (Koenker and Bassett, 1978).…”
Section: Estimation Resultsmentioning
confidence: 99%
“…The least trimmed instrumental quantile regression is a robustness check capable of reducing the outliers' influence on the explanatory variable (Neykov et al ., 2012) and removing dirty estimators and inefficient statistics. The idea is to use a α -trimmed mean of the sample after the proportion of largest and smallest observations are removed from the dataset (Koenker and Bassett, 1978).…”
Section: Estimation Resultsmentioning
confidence: 99%
“…Adrover et al [9] presented a robust estimation method that is unaffected by leverage points and, at the same time, maximizes the breakdown point. e disadvantages of the weighting method and depth quantiles are computational complexity and nonstandard asymptotic distributions Neykov et al [10].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, least trimmed QReg is proposed by Neykov et al [10] to reduce the effects of HLPs. is method is a generalization of the location estimator that was proposed by Tableman [11] and least trimmed absolute deviation proposed by Hawkins and Olive [12].…”
Section: Introductionmentioning
confidence: 99%
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“…Η μέθοδος του αθροίσματος των αποκομμένων απολύτων αποκλίσεων μελετήθηκε από τους Hawkins and Olive (1999a), Neykov et al (2012). Σκοπό έχει να ελαχιστοποιήσει το άθροισμα των απολύτων καταλοίπων, r i , των καλυπτόμενων περιπτώσεων.…”
Section: Ltad παλινδρόμησηunclassified