手法を比較

	確率的ミクロシミュレーション	確率的離散事象シミュレーション
分野	シミュレーション	シミュレーション
系統	Process / pipeline	Process / pipeline
提唱年	1957	1960s–1970s
提唱者	Guy H. Orcutt	Banks, Carson, Nelson, Nicol; Law, A. M.
種類	Stochastic individual-level simulation	Stochastic simulation model
原典	Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116–123.	Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127
別名	Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM	Stochastic DES, SDES, Probabilistic DES, Monte Carlo DES
関連	6	6
概要	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.	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.