ScholarGate
助手
Hypothesis testClassical statistics

稳健效应量分析

稳健效应量分析使用对离群值和正态性违背具有抵抗力的估计量来量化差异或关联的幅度。稳健变体不依赖于基于样本均值和标准差的经典统计量(如Cohen's d),而是使用修匀均值和Winsor化标准差来产生效应量估计值,这些估计值能准确反映典型效应,而不是被极端值膨胀。

用 StatMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Algina, J., Keselman, H. J., & Penfield, R. D. (2005). An alternative to Cohen's standardized mean difference effect size: A robust parameter and confidence interval in the two independent groups case. Psychological Methods, 10(3), 317–328. DOI: 10.1037/1082-989X.10.3.317
  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 3). Robust Effect Size Analysis. ScholarGate. https://scholargate.app/zh/statistics/robust-effect-size-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateRobust Effect Size Analysis (Robust Effect Size Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-effect-size-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026