विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सिमुलेशन-सहायता प्राप्त एक्स पोस्ट फैक्टो डिज़ाइन× | मोंटे कार्लो सिमुलेशन× | |
|---|---|---|
| क्षेत्र≠ | अनुसंधान अभिकल्प | निर्णयन |
| परिवार≠ | Process / pipeline | MCDM |
| उद्भव वर्ष≠ | Ex post facto: 1964; simulation-assisted hybrid: 1990s–2000s | 1949 |
| प्रवर्तक≠ | Kerlinger, F. N. (ex post facto basis); simulation integration drawn from computational social science (Axelrod, Epstein, 1990s) | Metropolis, N., Ulam, S. |
| प्रकार≠ | Non-experimental observational design with computational augmentation | Robustness wrapper — Monte Carlo uncertainty propagation |
| मौलिक स्रोत≠ | Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston. link ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| उपनाम≠ | simulation-enhanced causal-comparative design, ex post facto with simulation, retrospective simulation design, SAEPF design | — |
| संबंधित≠ | 4 | 0 |
| सारांश≠ | Simulation-assisted ex post facto design is a non-experimental observational approach in which the researcher examines already-occurred events or conditions using existing records and then supplements the empirical analysis with computational simulation to approximate counterfactual scenarios that cannot be observed in reality. The design retains the retrospective, naturalistic character of classic ex post facto research while leveraging agent-based, Monte Carlo, or system-dynamics simulation to address the inherent confound limitations of purely archival work. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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