ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

中位数绝对离差 (MAD) 估计×Sn和Qn稳健尺度估计量×
领域统计学统计学
方法族Regression modelRegression model
起源年份19741993
提出者Hampel (influence-curve treatment); classical robust statisticsRousseeuw & Croux
类型Robust scale estimatorRobust scale estimator
开创性文献Hampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393. DOI ↗Rousseeuw, P. J., & Croux, C. (1993). Alternatives to the Median Absolute Deviation. Journal of the American Statistical Association, 88(424), 1273-1283. DOI ↗
别名median absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) TahminiSn estimator, Qn estimator, Rousseeuw-Croux scale estimators, robust scale estimation
相关55
摘要Median Absolute Deviation estimation is a robust measure of statistical dispersion that replaces the standard deviation when outliers are present. Rooted in the influence-curve framework formalised by Hampel (1974), it summarises the spread of a continuous variable using medians instead of means, so a single extreme value cannot distort the result.Sn and Qn are robust estimators of scale (spread) proposed by Rousseeuw and Croux (1993) as alternatives to the median absolute deviation (MAD). Both attain a 50% breakdown point while delivering higher statistical efficiency than MAD, so they measure dispersion accurately even when the data contain outliers.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: MAD Estimation · Sn and Qn Scale Estimators. 于 2026-06-18 检索自 https://scholargate.app/zh/compare