Results 21 to 30 of about 91,095 (288)

Nagging Predictors

open access: yesRisks, 2020
We define the nagging predictor, which, instead of using bootstrapping to produce a series of i.i.d. predictors, exploits the randomness of neural network calibrations to provide a more stable and accurate predictor than is available from a single neural
Ronald Richman, Mario V. Wüthrich
doaj   +1 more source

Collective loss reserving with two types of claims in motor third party liability insurance [PDF]

open access: yesJournal of Computational and Applied Mathematics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Denuit, Michel, Trufin, Julien
openaire   +4 more sources

The Application of Bühlmann‑Straub Model with Data Correction for the Estimation of Net Premium Rates in Bonus‑Malus Systems of the Motor Third Liability Insurance

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2018
One of the elements used in the process of tariff calculation of premiums in motor liability insurance is a bonus‑malus system. This systems takes into account the “claims ratio” by means of increases and discounts of the base premium called net premium ...
Anna Edyta Szymańska
doaj   +1 more source

Modeling Number of Third-party Legal Liability Insurance Claims [PDF]

open access: yes, 2018
General insurance is insurance that bears financial losses due to the destruction of some or all of the property of the insured. In general insurance, there are 13 types of insurance products that are commonly marketed, one of which is motor vehicle ...
Adam, F F
core   +2 more sources

MULTIVARIATE MODELLING OF HOUSEHOLD CLAIM FREQUENCIES IN MOTOR THIRD-PARTY LIABILITY INSURANCE

open access: yesASTIN Bulletin, 2018
AbstractActuarial risk classification studies are typically confined to univariate, policy-based analyses: Individual claim frequencies are modelled for a single product, without accounting for the interactions between the different coverages bought by the members of the same household. Now that large amounts of data are available and that the customer'
Pechon, Florian   +2 more
openaire   +3 more sources

The Insurance Market in Romania Motor Thrid Party Liability Insurance: Communication on Developments, Risks, Challenges and Perspectives [PDF]

open access: yesRevista de Studii Financiare
The risks faced by the Romanian insurance market are significant and come from both the difficult global context and the internal dynamics. Paradoxically, however, the underdevelopment of the market, especially in the life insurance sector, and the ...
Cecilia Ciocîrlan   +2 more
doaj   +1 more source

Cost and economic burden of illness over 15 years in Nepal: A comparative analysis. [PDF]

open access: yesPLoS ONE, 2018
With an increasing burden of non-communicable disease in Nepal and limited progress towards universal health coverage, country- and disease-specific estimates of financial hardship related to healthcare costs need to be evaluated to protect the ...
Khin Thet Swe   +6 more
doaj   +1 more source

Segmentation and estimation of claim severity in motor third-party liability insurance through contrast analysis

open access: yesEquilibrium. Quarterly Journal of Economics and Economic Policy, 2022
Research background: Using the marginal means and contrast analysis of the target variable, e.g., claim severity (CS), the actuary can perform an in-depth analysis of the portfolio and fully use the general linear models potential. These analyses are mainly used in natural sciences, medicine, and psychology, but so far, it has not been given adequate ...
Marian Reiff   +4 more
openaire   +1 more source

Changing Rules of Liability in Automobile Accident Litigation [PDF]

open access: yes, 1936
Den svenska befolkningen blir allt äldre, och denna förskjutning av befolkningssammansättningen leder till ett ökat behov av vård och omsorg. Den utmaning som detta medför för samhället motiverar att närmare studera vad som påverkar hälsan specifikt hos ...
Nixon, Richard M.
core   +3 more sources

EM Estimation for the Poisson-Inverse Gamma Regression Model with Varying Dispersion: An Application to Insurance Ratemaking

open access: yesRisks, 2020
This article presents the Poisson-Inverse Gamma regression model with varying dispersion for approximating heavy-tailed and overdispersed claim counts. Our main contribution is that we develop an Expectation-Maximization (EM) type algorithm for maximum ...
George Tzougas
doaj   +1 more source

Home - About - Disclaimer - Privacy