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- W2033046771 abstract "A new core methodology for creating nonparametric L-quantile estimators is introduced and three new quantile L-estimators (SV1 p , SV2 p , and SV3 p ) are constructed using the new methodology. Monte Carlo simulation was used in order to investigate the performance of the new estimators for small and large samples under normal distribution and a variety of light and heavy-tailed symmetric and asymmetric distributions. The new estimators outperform, in most of the cases studied, the Harrell–Davis quantile estimator and the weighted average at X ([np]) quantile estimator." @default.
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- W2033046771 date "2008-02-01" @default.
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- W2033046771 title "A New Family of Nonparametric Quantile Estimators" @default.
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- W2033046771 doi "https://doi.org/10.1080/03610910701790491" @default.
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