ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

Trovärdighetsteori×Bonus-Malus-system×
ÄmnesområdeFörsäkringsmatematikFörsäkringsmatematik
FamiljRegression modelRegression model
Ursprungsår19671995
UpphovspersonHans BühlmannJean Lemaire
TypWeighted linear blend of individual and collective experienceActuarial experience-rating model
UrsprungskällaBühlmann, 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
AliasBühlmann Credibility, Experience Rating, Linear Credibility Estimator, Güvenilirlik TeorisiNo-Claim Discount System, Merit Rating System, Experience Rating in Automobile Insurance, Prim-Ceza Sistemi
Närliggande32
SammanfattningCredibility 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.
ScholarGateDatamängd
  1. v1
  2. 1 Källor
  3. PUBLISHED
  1. v1
  2. 1 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: Credibility Theory · Bonus-Malus System. Hämtad 2026-06-18 från https://scholargate.app/sv/compare