विधियों की तुलना करें

	BCa बूटस्ट्रैप (पूर्वाग्रह-सुधारित और त्वरित)	क्रमचय (यादृच्छिकीकरण) परीक्षण
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1987	2005
प्रवर्तक	Bradley Efron	Good (2005); Edgington & Onghena (2007); resampling tradition
प्रकार	Resampling confidence interval	Nonparametric resampling test
मौलिक स्रोत	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
उपनाम	BCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence interval	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
संबंधित	5	5
सारांश	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.