ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

نظریه اعتبار (Credibility Theory)×سیستم بونوس-مالوس (BMS)×
حوزهعلوم اکچوئریعلوم اکچوئری
خانوادهRegression modelRegression model
سال پیدایش19671995
پدیدآورHans BühlmannJean Lemaire
نوعWeighted linear blend of individual and collective experienceActuarial experience-rating model
منبع بنیادینBühlmann, H. (1967). Experience rating and credibility. ASTIN Bulletin, 4(3), 199–207. DOI ↗Lemaire, J. (1995). Bonus-Malus Systems in Automobile Insurance. Kluwer Academic Publishers. ISBN: 978-0-7923-9545-5
نام‌های دیگرBühlmann Credibility, Experience Rating, Linear Credibility Estimator, Güvenilirlik TeorisiNo-Claim Discount System, Merit Rating System, Experience Rating in Automobile Insurance, Prim-Ceza Sistemi
مرتبط32
خلاصهCredibility 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.A Bonus-Malus System (BMS) is an actuarial experience-rating mechanism used primarily in automobile insurance to adjust individual policyholders' premiums based on their personal claim history. Policyholders who remain claim-free receive premium discounts (bonus), while those who file claims are penalised with surcharges (malus). The framework was comprehensively formalised and analysed by Jean Lemaire in his landmark 1995 monograph, which remains the definitive reference for the design and evaluation of such systems worldwide.
ScholarGateمجموعه‌داده
  1. v1
  2. 1 منابع
  3. PUBLISHED
  1. v1
  2. 1 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: Credibility Theory · Bonus-Malus System. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare