So sánh phương pháp

	Phương pháp bootstrap hoang dã cho suy luận hồi quy	Kiểm định hoán vị (Ngẫu nhiên hóa)
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	1986	2005
Người khởi xướng	Wu (1986); refined by Davidson & Flachaire (2008)	Good (2005); Edgington & Onghena (2007); resampling tradition
Loại	Resampling-based regression inference	Nonparametric resampling test
Công trình gốc	Wu, C. F. J. (1986). Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis. Annals of Statistics, 14(4), 1261-1295.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Tên gọi khác	wild bootstrap, wild cluster bootstrap, Wu-Liu resampling, Wild Bootstrap	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
Liên quan	5	5
Tóm tắt	The wild bootstrap is a resampling method for regression models with heteroscedastic errors, introduced by Wu (1986) and refined by Davidson and Flachaire (2008). It builds a bootstrap distribution by rescaling each fitted residual with a random sign, so that standard errors and confidence intervals stay valid when the error variance is not constant or the data are clustered.	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.