পদ্ধতির তুলনা করুন

	Stochastic Markov Model	মাইক্রোসিমুলেশন
ক্ষেত্র	অনুকরণ	অনুকরণ
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1993	1957
প্রবর্তক	Markov, A. A. (probabilistic extension developed by Sonnenberg & Beck and others)	Guy Orcutt (concept, 1957); modern tax-transfer frameworks developed through EUROMOD and related projects
ধরন	Probabilistic state-transition model with Monte Carlo uncertainty propagation	Policy simulation / computational social science
মৌলিক উৎস	Sonnenberg, F. A., & Beck, J. R. (1993). Markov models in medical decision making: A practical guide. Medical Decision Making, 13(4), 322–338.	O'Donoghue, C. (Ed.) (2014). Handbook of Microsimulation Modelling. Emerald.
অপর নাম	Probabilistic Markov Model, Stochastic Markov Chain, SMM, Monte Carlo Markov Model	Mikrosimülasyon, micro-simulation, policy microsimulation
সম্পর্কিত	6	5
সারসংক্ষেপ	A Stochastic Markov Model is a simulation technique that represents a system as a set of mutually exclusive health or decision states, moves a cohort (or individual agents) through those states using probabilistically sampled transition parameters, and aggregates outcomes across thousands of Monte Carlo iterations to produce full probability distributions over costs, outcomes, or rankings rather than single point estimates.	Microsimulation is a computational method that simulates policy effects by operating directly on a population of individual micro-units — households, firms, patients — and applying rules to each unit according to its own demographic, economic, and behavioural characteristics. Developed conceptually by Guy Orcutt in 1957, it has become the standard tool for evaluating tax reform, pension systems, and health policy before implementation.