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Regression model

稳健方差分析(Welch & Trimmed Mean)

当正态性和等方差的经典假设不成立时,稳健方差分析比较三个或更多组的集中趋势。它结合了Welch在1951年提出的经异方差调整的Welch统计量,以及Wilcox提出的截尾均值检验,在存在异常值和组间离散程度不均的情况下提供可靠的比较。

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来源

  1. Welch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336. DOI: 10.1093/biomet/38.3-4.330
  2. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838

如何引用本页

ScholarGate. (2026, June 1). Robust Analysis of Variance (Welch & Trimmed Mean). ScholarGate. https://scholargate.app/zh/statistics/robust-anova

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被引用于

ScholarGateRobust ANOVA (Robust Analysis of Variance (Welch & Trimmed Mean)). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-anova · 数据集: https://doi.org/10.5281/zenodo.20539026