השוואת שיטות

	היסק בוטסטרפ	מבחן ממוצע חתוך (מבחן יואן)
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Regression model	Regression model
שנת המקור	1979	1974
הוגה השיטה	Bradley Efron	Karen K. Yuen
סוג	Resampling-based inference	Robust two-group comparison
מקור מכונן	Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26.	Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170.
כינויים	bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı	Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi
קשורות	5	4
תקציר	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.	The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal.