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Simulació microsimulació estocàstica×Simulació Monte Carlo×
CampSimulacióPresa de decisions
FamíliaProcess / pipelineMCDM
Any d'origen19571949
Autor originalGuy H. OrcuttMetropolis, N., Ulam, S.
TipusStochastic individual-level simulationRobustness wrapper — Monte Carlo uncertainty propagation
Font seminalOrcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116–123. DOI ↗Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
ÀliesProbabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM
Relacionats60
ResumStochastic 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.
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ScholarGateCompara mètodes: Stochastic Microsimulation · MONTE-CARLO-SIMULATION. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare