手法を比較

	モンテカルロシミュレーション	順列検定（ランダム化検定）
分野	意思決定	統計学
系統	MCDM	Regression model
提唱年	1949	2005
提唱者	Metropolis, N., Ulam, S.	Good (2005); Edgington & Onghena (2007); resampling tradition
種類	Robustness wrapper — Monte Carlo uncertainty propagation	Nonparametric resampling test
原典	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
別名	—	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
関連	0	5
概要	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.