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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Simulimi Monte Karlo i Skenarëve të Politikave×Analiza e ndjeshmërisë×
FushaSimulimiVendimmarrja
FamiljaProcess / pipelineMCDM
Viti i origjinës1990s–2000s2004
KrijuesiDeveloped within health economics and policy modeling communities; foundational work by Briggs, Claxton, and SculpherSaltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
LlojiProbabilistic scenario simulationRobustness wrapper — parameter / weight perturbation sensitivity indices
Burimi themeluesBriggs, A. H., Claxton, K., & Sculpher, M. J. (2006). Decision Modelling for Health Economic Evaluation. Oxford University Press. ISBN: 9780198526629Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
Emërtime të tjeraPS-MCS, Policy MC Simulation, Scenario-Based Monte Carlo, Policy Uncertainty Simulation
Të lidhura40
PërmbledhjaPolicy Scenario Monte Carlo Simulation combines pre-defined discrete policy scenarios with probabilistic Monte Carlo sampling to quantify uncertainty in outcomes across each scenario. Rather than evaluating a single stochastic model, analysts define two or more policy alternatives and run thousands of Monte Carlo iterations within each, producing probability distributions of outcomes that support evidence-based policy comparison.SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateKrahasoni metodat: Policy Scenario Monte Carlo Simulation · SENSITIVITY-ANALYSIS. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare