Hypothesis testClassical statistics
稳健Friedman检验
稳健Friedman检验是一种非参数程序，用于比较三个或更多相关（被试内）条件，它用稳健的位置估计量（通常是截尾均值或Winsor化统计量）替代标准的秩或均值汇总，以减小异常值和重尾分布对推断的影响。
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来源
- Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
- Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI: 10.1080/01621459.1937.10503522 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Friedman Test for Repeated Measures. ScholarGate. https://scholargate.app/zh/statistics/robust-friedman-test
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.
- Friedman 检验统计学↔ compare
- 重复测量方差分析统计学↔ compare
- 稳健型Kruskal-Wallis检验统计学↔ compare
- 稳健配对样本t检验统计学↔ compare
- 稳健重复测量方差分析统计学↔ compare
- 稳健 Wilcoxon 符号秩检验统计学↔ compare