So sánh phương pháp

	Sai số chuẩn mạnh mẽ theo cụm	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	Liang & Zeger (GEE sandwich); Cameron & Miller (practitioner synthesis)	Good (2005); Edgington & Onghena (2007); resampling tradition
Loại	Robust variance estimation for regression	Nonparametric resampling test
Công trình gốc	Liang, K. Y. & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Tên gọi khác	clustered standard errors, cluster-robust inference, clustered variance estimator, Küme Robust Standart Hatalar	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
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 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.