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Hypothesis testClassical statistics

稳健描述性统计

稳健描述性统计使用即使在数据中存在一部分异常值或严重偏离正态性的情况下仍有意义的度量来总结数据集的位置、离散程度和形状。核心工具包括中位数、修剪均值、四分位距(IQR)和中位数绝对偏差(MAD),它们都能够抵抗会扭曲经典均值和标准差的污染。

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来源

  1. Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165
  2. Huber, P. J., & Ronchetti, E. M. (2009). Robust Statistics (2nd ed.). Wiley. ISBN: 978-0470129906

如何引用本页

ScholarGate. (2026, June 3). Robust Descriptive Statistics. ScholarGate. https://scholargate.app/zh/statistics/robust-descriptive-statistics

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被引用于

ScholarGateRobust Descriptive Statistics (Robust Descriptive Statistics). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-descriptive-statistics · 数据集: https://doi.org/10.5281/zenodo.20539026