So sánh phương pháp

	Sai số chuẩn mạnh mẽ theo cụm	Phương pháp bootstrap hoang dã cho suy luận hồi quy
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	1986	1986
Người khởi xướng	Liang & Zeger (GEE sandwich); Cameron & Miller (practitioner synthesis)	Wu (1986); refined by Davidson & Flachaire (2008)
Loại	Robust variance estimation for regression	Resampling-based regression inference
Công trình gốc	Liang, K. Y. & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22.	Wu, C. F. J. (1986). Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis. Annals of Statistics, 14(4), 1261-1295.
Tên gọi khác	clustered standard errors, cluster-robust inference, clustered variance estimator, Küme Robust Standart Hatalar	wild bootstrap, wild cluster bootstrap, Wu-Liu resampling, Wild Bootstrap
Liên quan	4	5
Tóm tắt	Cluster-robust standard errors correct the variance of regression coefficients when observations are correlated within clusters such as schools, hospitals, or regions. The clustered sandwich estimator grew out of Liang & Zeger's (1986) generalized estimating equations and was synthesized for applied work by Cameron & Miller (2015), delivering valid inference when ordinary standard errors would be too small.	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.