ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Robustā ANOVA (Velča un apgrieztais vidējais)×Vinsorizētā novērtēšana×
NozareStatistikaStatistika
SaimeRegression modelRegression model
Izcelsmes gads19511960
AutorsWelch (1951); robust trimmed-mean approach popularised by WilcoxDixon (1960); robust estimation tradition (Wilcox)
TipsRobust one-way analysis of varianceRobust location/scale estimator
PirmavotsWelch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336. DOI ↗Dixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗
Citi nosaukumiWelch ANOVA, trimmed-mean ANOVA, heteroscedastic one-way ANOVA, Robust ANOVA (Welch & Trimmed Mean)winsorization, winsorized mean, Winsorize Edilmiş Tahmin
Saistītās55
KopsavilkumsRobust 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.Winsorized estimation is a robust technique that reduces the influence of outliers by clamping the extreme percentiles of a distribution to a chosen threshold. Introduced by Dixon (1960) and developed in the robust-estimation tradition of Wilcox, it keeps every observation in the sample rather than discarding any.
ScholarGateDatu kopa
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Robust ANOVA · Winsorized Estimation. Izgūts 2026-06-17 no https://scholargate.app/lv/compare