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。

稳健方差分析(Welch & Trimmed Mean)×Bootstrap Inference×
领域统计学统计学
方法族Regression modelRegression model
起源年份19511979
提出者Welch (1951); robust trimmed-mean approach popularised by WilcoxBradley Efron
类型Robust one-way analysis of varianceResampling-based inference
开创性文献Welch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336. DOI ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
别名Welch ANOVA, trimmed-mean ANOVA, heteroscedastic one-way ANOVA, Robust ANOVA (Welch & Trimmed Mean)bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
相关55
摘要Robust ANOVA compares the central tendency of three or more groups when the classical assumptions of normality and equal variances fail. It combines Welch's heteroscedasticity-adjusted statistic, introduced by Welch in 1951, with trimmed-mean tests advanced by Wilcox, giving reliable comparisons in the presence of outliers and unequal group spreads.Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Robust ANOVA · Bootstrap Inference. 于 2026-06-15 检索自 https://scholargate.app/zh/compare