পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বিচ্ছিন্ন পছন্দ অনুকরণ (Discrete Choice Simulation)× | মন্টে কার্লো সিমুলেশন× | |
|---|---|---|
| ক্ষেত্র≠ | অনুকরণ | সিদ্ধান্ত গ্রহণ |
| পরিবার≠ | Process / pipeline | MCDM |
| উদ্ভবের বছর≠ | 1974 (McFadden's Nobel-cited logit); simulation extensions throughout 1990s–2000s | 1949 |
| প্রবর্তক≠ | Daniel McFadden (random utility theory); Kenneth Train (simulation methods) | Metropolis, N., Ulam, S. |
| ধরন≠ | Discrete choice modelling with Monte Carlo simulation | Robustness wrapper — Monte Carlo uncertainty propagation |
| মৌলিক উৎস≠ | Train, K.E. (2009). Discrete Choice Methods with Simulation (2nd ed.). Cambridge University Press. DOI ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| অপর নাম≠ | stated preference simulation, SP simulation, revealed preference modelling, Ayrık Seçim Simülasyonu (Stated Preference / SP Simulation) | — |
| সম্পর্কিত≠ | 5 | 0 |
| সারসংক্ষেপ≠ | Discrete choice simulation is a behavioural modelling method — grounded in random utility theory formalised by Daniel McFadden in the 1970s and extended to simulation-based estimation by Kenneth Train — that estimates how individuals choose among mutually exclusive alternatives and then uses those estimated preference parameters to forecast how choice shares would shift under hypothetical policy or market scenarios. It is the dominant quantitative tool in transport demand analysis, health economics, environmental valuation, and marketing research. | 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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