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Wyszukujesz frazę "third-party motor liability insurance" wg kryterium: Wszystkie pola


Wyświetlanie 1-2 z 2
Tytuł:
The Distribution of the Number of Claims in the Third Party’s Motor Liability Insurance
Autorzy:
Szymańska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/465971.pdf
Data publikacji:
2014
Wydawca:
Główny Urząd Statystyczny
Tematy:
distribution of the number of claims
civil liability motor insurance of vehicle owners
Opis:
In the automobile insurance tarification consists of two stages. The first step is to determine the net premiums on the basis of known risk factors, called a priori ratemaking. The second stage, called a posteriori ratemaking is to take into account the driver's claims history in the premium. Each step usually requires the actuary's selection of the theoretical distribution of the number of claims in the portfolio. The paper presents methods of consistency evaluation of the empirical and theoretical distributions used in motor insurance, illustrated with an example of data from different European markets.
Źródło:
Statistics in Transition new series; 2014, 15, 3; 507-516
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
General linear model – an effective tool for analysis of claim severity in motor third party liability insurance
Autorzy:
Šoltés, Erik
Zelinová, Silvia
Bilíková, Mária
Powiązania:
https://bibliotekanauki.pl/articles/1186927.pdf
Data publikacji:
2019-12-10
Wydawca:
Główny Urząd Statystyczny
Tematy:
general linear model
claim severity
motor third party liability insurance
least squares means
Opis:
The paper focuses on the analysis of claim severity in motor third party liability insurance under the general linear model. The general linear model combines the analyses of variance and regression and makes it possible to measure the influence of categorical factors as well as the numerical explanatory variables on the target variable. In the paper, simple, main and interaction effects of relevant factors have been quantified using estimated regression coefficients and least squares means. Statistical inferences about least-squares means are essential in creating tariff classes and uncovering the impact of categorical factors, so the authors used the LSMEANS, CONTRAST and ESTIMATE statements in the GLM procedure of the Statistical Analysis Software (SAS). The study was based on a set of anonymised data of an insurance company operating in Slovakia; however, because each insurance company has its own portfolio subject to changes over time, the results of this research will not apply to all insurance companies. In this context, the authors feel that what is most valuable in their work, is the demonstration of practical applications that could be used by actuaries to estimate both the claim severity and the claim frequency, and, consequently, to determine net premiums for motor insurance (regardless of whether for motor third party liability insurance or casco insurance.
Źródło:
Statistics in Transition new series; 2019, 20, 4; 13-31
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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