Marek Strežo, Vladimír Mucha, Erik Šoltés, Michal Páleš
Risk Premium Prediction of Motor Hull Insurance Using Generalized Linear Models
Číslo: 4/2019
Periodikum: Statistika
Klíčová slova: GLMs, Poisson regression, Gamma regression, risk premium, motor hull insurance
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The aim of this paper is to present the methodology of segmented pricing model with generalized linear models, known as GLMs, for setting the risk premium. Nowadays, the GLMs are widely recognized as the industry standard method for pricing motor, the other personal lines and the retail insurance in the European Union.