• Communications for Statistical Applications and Methods
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• v.17 no.5
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• pp.713-724
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• 2010

Calculating or estimating the proper insurance premium is very important decision making process for both the policyholder and the insurance company. The credibility theory is one of the most important theories in actuarial science to get the proper premium. In this research, we introduce the rule of relative exposure volume, the square root rule and the B$\ddot{u}$hlmann credibility, and estimate the new premiums based on these methods. By real data analysis, the accuracy of these credibility methods are compared.

• 방재와보험
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• s.59
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• pp.44-44
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• 1993

• 방재와보험
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• s.63
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• pp.22-23
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• 1994

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.4
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• pp.89-100
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• 2020

In order to reduce the time and cost used in insurance processing, studies have been actively carried out to apply blockchain smart contract technology to car insurance. However, by using traffic data that is insufficient to prove accidents, existing studies are being exposed to the risk of insurance fraud, such as forgery and overstated damage by malicious insurers. To solve this problem, we propose an accident data-based reliability estimation model by using both various types of data through sensors, RSUs, and IoT devices embedded in automobiles and smart contracts. In particular, the regression model was applied in consideration of the weight estimation according to the type of traffic accident data and the reliability estimation model trained according to various accident situations. The proposed model is expected to effectively reduce fraud and insurance litigation while providing transparency in the insurance process and streamlining it is well.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.61-68
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• 2017

This study investigates the differences in medical practices and medical cost according to auto insurance companies based on 8,589,602 cases that were treated by auto insurance corporation for the year of 2015, from the beginning of January to the end of December. The results of this study can be summarized following. First, in terms of the general characteristic in medical treatment, especially the age, the highest figure in both non-life insurance and mutual aid cooperative was shown in the age of 50 to 59 at 22.8 per cent(p<0.001). Second, in terms of a medical cost per a hospital care, classified by clinic, the costs in the department of internal medicine were much higher than those in the surgical department, and the thoracic surgery among parts of the surgical department showed the highest figures in both non-life insurance and mutual aid cooperative. According to the above summarized results of this study, it can be concluded that Health Insurance Review and Assessment Service has to address the problem on the increase of unnecessary costs and the occurrence of social expenses caused by the delay of patients' rehabilitation and return to their daily lives, by carrying out the evaluation for the appropriateness to organizations that ask for payments of auto insurance.

• The Korean Journal of Applied Statistics
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• v.26 no.2
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• pp.237-252
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• 2013

An estimation model for premiums and components is essential to determine reasonable insurance premiums. In this study, we introduce diverse models for the estimation of property damage premiums(premium, depth and frequency) that include a regression model using a dummy variable, additive independent variable model, autoregressive error model, seasonal ARIMA model and intervention model. In addition, the actual property damage premium data was used to estimate the premium, depth and frequency for each model. The estimation results of the models are comparatively examined by comparing the RMSE(Root Mean Squared Errors) of estimates and actual data. Based on real data analysis, we found that the autoregressive error model showed the best performance.

• 방재와보험
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• s.61
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• pp.42-43
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• 1994

• Korean Management Science Review
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• v.15 no.1
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• pp.117-135
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• 1998

자동차보험의 대인배상 업무는 폭주하는 업무량에도 불구하고 담당자의 개인 능력에 의존하고 있는 실정이다. 사고발생 후 손해산정에서부터 실제적으로 배상이 이루어지기까지의 과정은 인간의 의사결정이 수없이 개입되기 때문에 시간과 비용이 많이 소요된다. 이 의사결정 과정에서는 사고 당사자 쌍방에게 가능한 여러 가지 대안들이 제시되어야 하며, 일관성 있는 판단이 내려져야 한다. 본 연구에서는 대인배상 업무를 구성하는 상해/후유장애 등급의 판정, 과실율/노동상실율 판정 및 손해산정 업무에 활용 가능한 정보기술들을 고찰한 후, 이 업무들 중 손해산정 업무를 지원하는 의사결정 지원시스템을 개발하고 그 사용 예를 제시하였다.

• 방재와보험
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• s.49
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• pp.86-91
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• 1991

• 방재와보험
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• s.49
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• pp.53-55
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• 1991