• Communications for Statistical Applications and Methods
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• 제22권1호
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• pp.95-103
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• 2015

We introduce a surplus process which follows a diffusion process with positive drift and is subject to two types of claim. We assume that type I claim occurs more frequently, however, its size is stochastically smaller than type II claim. We obtain the ruin probability that the level of the surplus becomes negative, and then, decompose the ruin probability into three parts, two ruin probabilities caused by each type of claim and the probability that the level of the surplus becomes negative naturally due to the diffusion process. Finally, we illustrate a numerical example, when the sizes of both types of claim are exponentially distributed, to compare the impacts of two types of claim on the ruin probability of the surplus along with that of the diffusion process.

• 한국경영과학회지
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• 제15권1호
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• pp.83-97
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• 1990

We consider an insured who wishes to determine his optimal reporting strategy over a given planning horizon, when he has option of reporting of not reporting his at-fault accidents. Assuming that the premium in future period is continually adjusted by the insured's loss experience, the insured would not report every loss incurred. Rather, considering the benefits and costs of each decision, the insured may want to seek a way of optimizing his interests over the planning horizon. The situation is modeled as a dynamic programming problem. We consider an insured's discounted expected cost minimization problem, where the premium increase in future period is affected by the size of the current claim. More specifically, we examine two cases ; (1) the premium increase in the next is a linear function (a constant fraction) of the current claim size; (2) the premium increase in the next period is a concave function of the current claim size. In each case, we derive the insured's optimal reporting strategy.

• Korean Journal of Radiology
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• 제24권12호
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• pp.1179-1189
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• 2023

Objective: We aimed to evaluate the reporting quality of research articles that applied deep learning to medical imaging. Using the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) guidelines and a journal with prominence in Asia as a sample, we intended to provide an insight into reporting quality in the Asian region and establish a journal-specific audit. Materials and Methods: A total of 38 articles published in the Korean Journal of Radiology between June 2018 and January 2023 were analyzed. The analysis included calculating the percentage of studies that adhered to each CLAIM item and identifying items that were met by ≤ 50% of the studies. The article review was initially conducted independently by two reviewers, and the consensus results were used for the final analysis. We also compared adherence rates to CLAIM before and after December 2020. Results: Of the 42 items in the CLAIM guidelines, 12 items (29%) were satisfied by ≤ 50% of the included articles. None of the studies reported handling missing data (item #13). Only one study respectively presented the use of de-identification methods (#12), intended sample size (#19), robustness or sensitivity analysis (#30), and full study protocol (#41). Of the studies, 35% reported the selection of data subsets (#10), 40% reported registration information (#40), and 50% measured inter and intrarater variability (#18). No significant changes were observed in the rates of adherence to these 12 items before and after December 2020. Conclusion: The reporting quality of artificial intelligence studies according to CLAIM guidelines, in our study sample, showed room for improvement. We recommend that the authors and reviewers have a solid understanding of the relevant reporting guidelines and ensure that the essential elements are adequately reported when writing and reviewing the manuscripts for publication.

• 한국경영과학회지
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• 제40권3호
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• pp.39-48
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• 2015

Even though ruin probability is a fundamental value to determine the insurance premium and policy, the complexity involved in computing its exact value forced us resort to an approximate method. In this paper, we first present an exact method to compute ruin probability under the assumption that the claim size has a GPH distribution, Then, for the arbitrary claim size distribution, we provide a method computing ruin probability quite accurately by approximating the distribution as a GPH. The validity of the proposed method demonstrated by a numerical example. The GPH approach seems to be valid for heavy-tailed claims as well as usual light-tailed claims.

• 무역학회지
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• 제41권3호
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• pp.135-156
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• 2016

본 연구는 중국 산동성 경제 현황 자료를 참고하여 한국과 중국 산동성 주요지역 (칭다오시, 옌타이시, 웨하이시, 지난시)의 무역 및 투자 현황을 살펴보고 양국 간 유형별 클레임 사례를 조사하였다. 더불어, 이를 실증적으로 파악하고자 중국 산동성에 투자한 한국 기업 300개를 대상으로 설문조사를 실시하였고, 이를 바탕으로 추론적 분석을 위한 가설/검정을 실시하였다. 이에 대한 결과로 첫째, 수출입 금액으로 대변되는 기업 규모와 무역 클레임 제기 빈도 간 관계 (H1)와, 무역 클레임 금액 (H2)과의 관계는 정(+)의 관계에 있다는 가설이 인용되었으나, 같은 맥락으로 클레임 판정까지의 소요시간과의 관계 (H3) 또한 정(+)의 관계가 성립할 것이라는 가설은 오히려 유의한 부(-)의 관계가 나타나면서 이를 기각하였다. 둘째, 기업의 유형으로 대변되는 취급 품목의 경우는 무역 클레임 제기 빈도와의 관계 (H4), 클레임 예방 대처 방법과의 관계 (H6)에 있어 유의한 차이를 나타내는 반면, 무역 클레임 종류에 따른 차이 (H5)는 그 유의성이 나타나지 않았다. 본 연구를 통해 중국 산동성 지역의 한국 기업에 대한 현황을 이론적/실무적 차원으로 살펴보았으며, 이를 통해 향후 산동성에 진출하는 우리 기업의 실질적인 요구에 부응할 수 있을 것이라 생각한다.

• 무역상무연구
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• 제76권
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• pp.125-145
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• 2017

Where an insurer has unreasonably refused to pay a claim or paid it after unreasonably delay, the existing law in England does not provide a remedy for the insured. Accordingly, the insured is not entitled to damages for any loss suffered as a result of the insurer's unreasonable delay. This legal position differs from the law in Scotland and most major common law jurisdictions. LC thought that the legal position in England is anomalous and out of step with general contractual principles. LC considered that a policyholder should have a remedy where an insurer has acted unreasonably in delaying or refusing payment of claim, and, therefore, recommended a statutory implied term in every insurance that the insurer will pay sums due within a reasonable time and breach of that term should give rise to contractual remedies, including damages. More detailed recommendations of LC are as followings. First, it should be an implied term of every insurance contract that, where an insured makes a claim under the contract, the insurer must pay sums due within a reasonable time. Secondly, a reasonable time should always include a reasonable time for investigating and assessing a claim. Although a reasonable time will depend on all the relevant circumstances, for example, the following things may need to be taken into account, that is, (1) the type of insurance, (2) the size and complexity of the claim, (3) compliance with any relevant statutory rules or guidance, and (4) factors outside the insurer's control. Thirdly, if the insurer can show that it had reasonable grounds for disputing the claim(whether as to pay or not, or the amount payable), the insurer does not breach the obligation to pay within a reasonable time merely by failing to pay the claim while the dispute is continuing. In those circumstances, the conduct of the insurer in handling the dispute may be a relevant factor in deciding whether the obligation was breached and, if so, when. Fourthly, Normal contractual remedies for breach of contract should be available for breach of the implied term to pay sums due within a reasonable time. Finally, In non-consumer insurance contracts, the insurer should be permitted to exclude or limit its liability for breach of the obligation to pay sums due within a reasonable time, unless such breach was deliberate or reckless, and such an insurer's right to contract out will be subject to satisfying the transparency requirements.

• 응용통계연구
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• 제34권5호
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• pp.697-710
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• 2021

상대오차를 이용한 예측법은 상대오차(혹은 퍼센트오차)가 중요시되는 분야, 특히 계량경제학이나 소프트웨어 엔지니어링, 또는 정부기관 공식통계 부분에서 기존 예측방법 외에 선호되는 예측방법이다. 그 동안 상대오차를 이용한 예측법은 선형 혹은 비선형 회귀분석 뿐 아니라, 커널회귀를 이용한 비모수 회귀모형, 그리고 정상시계열분석에 이르기까지 그 범위가 확장되어 왔다. 그러나, 지금까지의 분석은 고정효과(fixed effect)만을 고려한 것이어서 임의효과(random effect)에 관한 상대오차 예측법에 대한 확장이 필요하였다. 본 논문의 목적은 상대오차예측법을 일반화선형혼합모형(GLMM)에 속한 감마회귀(gamma regression), 로그정규회귀(lognormal regression), 그리고 역가우스회귀(inverse gaussian regression)의 패널자료(panel data)에 적용시키는데 있다. 이를 위해 실제 자동차 보험회사의 손해액 자료를 사용하였고, 최량예측량과 최량상대오차예측량을 각각 적용-비교해 보았다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.192-194
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• 2015

The growing size and complex process in construction project recently leads to increase risk and the losses as well. Even though researchers have identified the major risk indicators, there is lack of comprehensive and quantitative research for identifying the relationship between the risk indicators and economic losses associated with construction projects. To address this shortage of research, this study defines risk indicators and create a framework to assess the influence of economic losses from the indicators. An insurance company's claim payout record was accepted as the dependent variable to reflect the real economic losses. Based on the claims, we categorized the causes and results of accidents. To establish framework, built environment vulnerability indicators and geographical vulnerability indicators were employed as the risk indicators. A Pearson correlation analysis was adopted to validate the relationship with loss ratio and risk indicators. Consequently, this framework and its results may offer significant references for under writers of insurance companies and loss prevention activities.

• 대한수학회보
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• 제50권2호
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• pp.611-626
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• 2013

In the paper we study the finite-time ruin probability in a general risk model with constant interest force, in which the claim sizes are pairwise quasi-asymptotically independent and arrive according to an arbitrary counting process, and the premium process is a general stochastic process. For the case that the claim-size distribution belongs to the consistent variation class, we obtain an asymptotic formula for the finite-time ruin probability, which holds uniformly for all time horizons varying in a relevant infinite interval. The obtained result also includes an asymptotic formula for the infinite-time ruin probability.

• Journal of applied mathematics & informatics
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• 제27권5_6호
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• pp.1033-1047
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• 2009

In this paper, we consider a m-type risk model with Markov-modulated premium rate. A integral equation for the conditional ruin probability is obtained. A recursive inequality for the ruin probability with the stationary initial distribution and the upper bound for the ruin probability with no initial reserve are given. A system of Laplace transforms of non-ruin probabilities, given the initial environment state, is established from a system of integro-differential equations. In the two-state model, explicit formulas for non-ruin probabilities are obtained when the initial reserve is zero or when both claim size distributions belong to the $K_n$-family, n $\in$ $N^+$ One example is given with claim sizes that have exponential distributions.