विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्टोकेस्टिक मार्कोव मॉडल× | संवेदनशीलता विश्लेषण× | |
|---|---|---|
| क्षेत्र≠ | अनुकरण | निर्णयन |
| परिवार≠ | Process / pipeline | MCDM |
| उद्भव वर्ष≠ | 1993 | 2004 |
| प्रवर्तक≠ | Markov, A. A. (probabilistic extension developed by Sonnenberg & Beck and others) | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| प्रकार≠ | Probabilistic state-transition model with Monte Carlo uncertainty propagation | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| मौलिक स्रोत≠ | Sonnenberg, F. A., & Beck, J. R. (1993). Markov models in medical decision making: A practical guide. Medical Decision Making, 13(4), 322–338. DOI ↗ | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| उपनाम≠ | Probabilistic Markov Model, Stochastic Markov Chain, SMM, Monte Carlo Markov Model | — |
| संबंधित≠ | 6 | 0 |
| सारांश≠ | 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. | 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. |
| ScholarGateडेटासेट ↗ |
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