مقایسهٔ روش‌ها

	مدل‌سازی گذار حالت احتمالی در سطح فردی با شبیه‌سازی خرد تصادفی	شبیه‌سازی رویداد گسسته تصادفی
حوزه	شبیه‌سازی	شبیه‌سازی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1957	1960s–1970s
پدیدآور	Guy H. Orcutt	Banks, Carson, Nelson, Nicol; Law, A. M.
نوع	Stochastic individual-level simulation	Stochastic simulation model
منبع بنیادین	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
نام‌های دیگر	Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM	Stochastic DES, SDES, Probabilistic DES, Monte Carlo DES
مرتبط	6	6
خلاصه	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.