• Title/Summary/Keyword: large claim frequency

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Efficient simulation using saddlepoint approximation for aggregate losses with large frequencies

  • Cho, Jae-Rin;Ha, Hyung-Tae
    • Communications for Statistical Applications and Methods
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    • v.23 no.1
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    • pp.85-91
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    • 2016
  • Aggregate claim amounts with a large claim frequency represent a major concern to automobile insurance companies. In this paper, we show that a new hybrid method to combine the analytical saddlepoint approximation and Monte Carlo simulation can be an efficient computational method. We provide numerical comparisons between the hybrid method and the usual Monte Carlo simulation.

Error Analysis: What Problems do Learners Face in the Production of the English Passive Voice?

  • Jung, Woo-Hyun
    • English Language & Literature Teaching
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    • v.12 no.2
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    • pp.19-40
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    • 2006
  • This paper deals with a part-specific analysis of grammatical errors in the production of the English passive in writing. The purpose of the study is dual: to explore common error types in forming the passive; and to provide plausible sources of the errors, with special attention to the role of the native language. To this end, this study obtained a large amount of data from Korean EFL university students using an essay writing task. The results show that in forming the passive sentence, errors were made in various ways and that the most common problem was the formation of the be-auxiliary, in particular, the proper use of tense and S-V agreement. Another important finding was that the global errors found in this study were not necessarily those with the greatest frequency. Also corroborated was the general claim that many factors work together to account for errors. In many cases, interlingual and intralingual factors were shown to interact with each other to explain the passive errors made by Korean students. On the basis of the results, suggestions are made for effective and well-formed use of the passive sentence.

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Anthropogenic Fingerprint on Recent Changes in Typhoon Heavy Rainfall beyond Tipping-Point (최근 태풍 호우에서 보이는 인류세 지문의 변화: 임계점을 넘어서)

  • Hyungjun Kim;Nobuyuki Utsumi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.87-87
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    • 2023
  • The impact of climate change on typhoons is a major concern in East Asia, especially due to the destructive effects of heavy rainfall on society and the economy, as many megacities are located along coastal regions. Although observations suggest significant changes in typhoon heavy rainfall, the extent to which anthropogenic forcing contributes to these changes has yet to be determined. In this study, we demonstrate that anthropogenic global warming has a substantial impact on the observed changes in typhoon heavy rainfall in the western North Pacific region. Observation data indicates that, in general, typhoon heavy rainfall has increased (decreased) in coastal East Asia (tropical western North Pacific) during the latter half of the 20th century and beyond. This spatial distribution is similar to the "anthropogenic fingerprint" observed from a set of large ensemble climate simulations, which represents the difference between Earth systems with and without human-induced greenhouse gas emissions. This provides evidence to support the claim that the significant increase in the frequency of typhoon heavy rainfall along coastal East Asia cannot be solely explained by natural variability. In addition, our results indicate that the signal of the "anthropogenic fingerprint" has been increasing rapidly since the mid-1970s and departed from natural variability in the early 2000s, indicating that the regional summer climate has already crossed the tipping point.

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An Analysis of the Current Status of Disasters Occurring on the Steep Slopes in Korea (국내 급경사지 재해 발생 현황 분석)

  • Kim, Sung-Wook;Jung, Soo-Jung;Choi, Eun-Kyeong;Kim, Sang-Hyun;Lee, Khil-Ha;Park, Dug-Guen
    • Journal of Environmental Science International
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    • v.22 no.11
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    • pp.1529-1538
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    • 2013
  • Disasters like mountain landslides and collapse in cutting areas claim many a life and cause economic losses, involving much effort and expenses for their recovery. This study has surveyed and analyzed incident of disasters that had occurred on the sloping sides in Korea for the past 13 years in an effort to relieve damage caused by disasters on the sloping sides. The analysis confirms that while the major cause of disasters on the sloping side was storms in the past, frequency of disasters on sloping sides caused by local downpour is steadily on the rise. In addition, while disasters were concentrated in Gangwon Province, a mountainous region of the country, frequency of disasters occurring on the sloping sides is steadily increasing recently on the sloping sides in downtown areas in Seoul, Gyeonggi-do and so forth, attributing a large percentage of disasters to sloping sides. Data surveyed and analyzed in this study are thought to be applicable as basic data for the establishment of effective measures for the prevention of disasters occurring on the sloping sides in the days to come.

Risk Analysis using Construction Insurance Claim Payouts (건설공사보험 피해 보상금 지급액을 활용한 리스크 분석)

  • Yu, Yeong-Jin;Son, Kiyoung;Kim, Ji-Myong
    • Journal of the Korea Institute of Building Construction
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    • v.16 no.4
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    • pp.349-357
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    • 2016
  • Recently, the quantity of risk in construction project has been inflated due to the fact that current construction projects have been large and complicated. Therefore, a study on the risk management methods is necessary that can predict and respond to the need in complicated modern construction projects. In this study, the objective is to analyze the cause of accident in actual construction sites and develop a risk assessment model based on insurance claims records. To reach the goal of this study, first, the frequency and severity of accidents are analyzed the causes of accidents based on the classification; progress rate, season, and total construction costs. Second, a risk assessment model is developed by utilizing a multiple regression analysis. The dependent variable is loss ratio of material damage and three categories; natural hazards, geographic information, and construction method & ability, are used as the independent variables. The model's adjusted R-square is 0.455. The contributions of this study will be used as a material for a quantitative risk analysis model development and review of the construction risk factors for future study.