So sánh phương pháp

	Kiểm định hoán vị (Ngẫu nhiên hóa)	Phương pháp lấy mẫu lại Jackknife
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	2005	1956
Người khởi xướng	Good (2005); Edgington & Onghena (2007); resampling tradition	Quenouille (1956); reviewed by Miller (1974)
Loại	Nonparametric resampling test	Resampling / bias and variance estimation
Công trình gốc	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792	Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360.
Tên gọi khác	randomization test, exact permutation test, re-randomization test, Permütasyon Testi	leave-one-out resampling, Quenouille-Tukey jackknife, delete-one jackknife, Jackknife Yeniden Örnekleme
Liên quan	5	5
Tóm tắt	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.	The jackknife is a classical resampling method that estimates the bias and variance of a statistic by systematically recomputing it with one observation left out at a time. Introduced by Quenouille in 1956 and later reviewed by Miller in 1974, it predates the bootstrap and remains a simple, deterministic tool for assessing estimator stability.