השוואת שיטות

	מיקרו-סימולציה סטוכסטית	סימולציית מונטה קרלו
תחום	סימולציה	קבלת החלטות
משפחה	Process / pipeline	MCDM
שנת המקור	1957	1949
הוגה השיטה	Guy H. Orcutt	Metropolis, N., Ulam, S.
סוג	Stochastic individual-level simulation	Robustness wrapper — Monte Carlo uncertainty propagation
מקור מכונן	Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116–123.	Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association
כינויים	Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM	—
קשורות	6	0
תקציר	Stochastic Microsimulation tracks a large population of individual units — people, households, or firms — through time by applying random draws from empirically estimated probability distributions at each transition event. Unlike deterministic counterparts, every state change is decided by chance, preserving realistic heterogeneity and allowing rigorous uncertainty quantification across multiple simulation runs.	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.