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Prueba t robusta para una muestra (media recortada)×Prueba t robusta para muestras independientes×
CampoEstadísticaEstadística
FamiliaHypothesis testHypothesis test
Año de origen1970s–2000s1974–1990s
Autor originalRand R. Wilcox (extending Yuen's trimmed-mean approach)Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
TipoRobust parametric mean comparisonRobust parametric mean comparison
Fuente seminalWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Aliasone-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-testYuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Relacionados42
ResumenThe robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality.The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.
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ScholarGateComparar métodos: Robust one-sample t-test · Robust independent samples t-test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare