השוואת שיטות

	Bootstrap BCa (Bias-Corrected and Accelerated)	מבחן פרמוטציה (אקראיזציה)
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Regression model	Regression model
שנת המקור	1987	2005
הוגה השיטה	Bradley Efron	Good (2005); Edgington & Onghena (2007); resampling tradition
סוג	Resampling confidence interval	Nonparametric resampling test
מקור מכונן	Efron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
כינויים	BCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence interval	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
קשורות	5	5
תקציר	The BCa bootstrap is a resampling method, introduced by Bradley Efron in 1987, that produces more accurate confidence intervals than the plain percentile bootstrap by applying a bias correction and an acceleration adjustment. It is recommended for skewed distributions and small samples.	The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.