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Microsimularea stochastică×Simulare Monte Carlo×
DomeniuSimulareLuarea deciziilor
FamilieProcess / pipelineMCDM
Anul apariției19571949
Autorul originalGuy H. OrcuttMetropolis, N., Ulam, S.
TipStochastic individual-level simulationRobustness wrapper — Monte Carlo uncertainty propagation
Sursa seminalăOrcutt, 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 ↗
Denumiri alternativeProbabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM
Înrudite60
RezumatStochastic 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.
ScholarGateSet de date
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  1. v1
  2. 1 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Stochastic Microsimulation · MONTE-CARLO-SIMULATION. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare