ScholarGate
Асистент

Порівняння методів

Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.

Теорія довіри×Теорія розорення×
ГалузьАктуарна наукаАктуарна наука
РодинаRegression modelRegression model
Рік появи19672010
Автор методуHans BühlmannFilip Lundberg; Harald Cramér
ТипWeighted linear blend of individual and collective experienceStochastic risk process model
Основоположне джерелоBühlmann, H. (1967). Experience rating and credibility. ASTIN Bulletin, 4(3), 199–207. DOI ↗Asmussen, S., & Albrecher, H. (2010). Ruin Probabilities (2nd ed.). World Scientific. ISBN: 978-981-4282-52-9
Інші назвиBühlmann Credibility, Experience Rating, Linear Credibility Estimator, Güvenilirlik TeorisiCollective Risk Theory, Cramér-Lundberg Theory, Probability of Ruin Analysis, Hasar Süreci Çöküş Teorisi
Пов'язані33
ПідсумокCredibility 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.Ruin Theory models the stochastic surplus process of an insurance company to quantify the probability that accumulated losses eventually exceed available capital. Introduced by Filip Lundberg in his 1903 doctoral thesis and rigorously unified by Harald Cramér in 1930, the classical Cramér-Lundberg model assumes premiums arrive at a constant rate, claims follow a compound Poisson process, and individual claim sizes are independent and identically distributed. It remains the foundational framework of collective risk theory in actuarial science.
ScholarGateНабір даних
  1. v1
  2. 1 Джерела
  3. PUBLISHED
  1. v1
  2. 1 Джерела
  3. PUBLISHED

Перейти до пошуку Завантажити слайди

ScholarGateПорівняння методів: Credibility Theory · Ruin Theory. Отримано 2026-06-20 з https://scholargate.app/uk/compare