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Stohastička mikrosimulacija×Stohastička diskretno-događajna simulacija×
PodručjeSimulacijaSimulacija
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka19571960s–1970s
TvoracGuy H. OrcuttBanks, Carson, Nelson, Nicol; Law, A. M.
VrstaStochastic individual-level simulationStochastic simulation model
Temeljni izvorOrcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116–123. DOI ↗Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127
Drugi naziviProbabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSMStochastic DES, SDES, Probabilistic DES, Monte Carlo DES
Srodne66
SažetakStochastic 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.Stochastic Discrete-Event Simulation (Stochastic DES) models complex systems by advancing simulated time from one discrete event to the next, drawing event durations and inter-arrival times from fitted probability distributions. It is the standard technique for analyzing queues, manufacturing lines, healthcare pathways, and logistics networks under uncertainty, producing output statistics with confidence intervals.
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ScholarGateUsporedite metode: Stochastic Microsimulation · Stochastic Discrete-Event Simulation. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare