विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्रेडिबिलिटी थ्योरी× | चरम मान सिद्धांत (EVT)× | |
|---|---|---|
| क्षेत्र≠ | बीमांकिक विज्ञान | वित्त |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1967 | 2001 |
| प्रवर्तक≠ | Hans Bühlmann | Coles (textbook treatment); McNeil, Frey & Embrechts |
| प्रकार≠ | Weighted linear blend of individual and collective experience | Tail / extreme-event model |
| मौलिक स्रोत≠ | Bühlmann, H. (1967). Experience rating and credibility. ASTIN Bulletin, 4(3), 199–207. DOI ↗ | Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598 |
| उपनाम≠ | Bühlmann Credibility, Experience Rating, Linear Credibility Estimator, Güvenilirlik Teorisi | EVT, generalized extreme value, generalized Pareto distribution, peaks over threshold |
| संबंधित≠ | 3 | 5 |
| सारांश≠ | Credibility Theory is an actuarial framework for estimating the pure premium of an individual risk by blending its own observed loss experience with the collective (portfolio) mean. Introduced by Hans Bühlmann in 1967, the method derives the optimal linear combination—the credibility-weighted premium—that minimises mean squared error. It extends classical experience rating to a rigorous statistical footing rooted in Bayesian and linear estimation principles. | Extreme Value Theory is a statistical framework for modelling the rare events that live in the tail of a probability distribution. As developed in Coles (2001) and applied to risk by McNeil, Frey & Embrechts (2005), it offers two standard routes: the Generalized Extreme Value (GEV) distribution for block maxima and the Generalized Pareto Distribution (GPD), used in the peaks-over-threshold approach, for exceedances above a high threshold. |
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