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	Stochastic Microsimulation	Simulacija Monte Karlo
Oblast	Simulacija	Donošenje odluka
Porodica	Process / pipeline	MCDM
Godina nastanka	1957	1949
Tvorac	Guy H. Orcutt	Metropolis, N., Ulam, S.
Tip	Stochastic individual-level simulation	Robustness wrapper — Monte Carlo uncertainty propagation
Temeljni izvor	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
Drugi nazivi	Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM	—
Srodne	6	0
Sažetak	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.