So sánh phương pháp

	Mô phỏng Monte Carlo	Kiểm định hoán vị (Ngẫu nhiên hóa)
Lĩnh vực	Ra quyết định	Thống kê
Họ	MCDM	Regression model
Năm ra đời	1949	2005
Người khởi xướng	Metropolis, N., Ulam, S.	Good (2005); Edgington & Onghena (2007); resampling tradition
Loại	Robustness wrapper — Monte Carlo uncertainty propagation	Nonparametric resampling test
Công trình gốc	Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Tên gọi khác	—	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
Liên quan	0	5
Tóm tắt	MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	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.