한국해양대학교

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선박사고에 영향을 주는 자연적 요인에 관한 통계 분석

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dc.contributor.advisor 박찬근 -
dc.contributor.author 이재익 -
dc.date.accessioned 2019-12-16T02:42:04Z -
dc.date.available 2019-12-16T02:42:04Z -
dc.date.issued 2017 -
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/11368 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002330712 -
dc.description.abstract The ship accidents were caused by various factors. Various factors consist of human factors and natural factors. In this paper, we focus on natural factors. The purpose of this paper is to analyze ship accidents in Busan and Incheon and analyze the effects of natural factors on ship accidents using logistic regression analysis and decision trees. The Korean Peninsula is surrounded by three different seas, and each sea has different natural factors. The data of natural factors were obtained from the Korean Maritime Safety Tribunal and the Korea Meteorological Administration. Each data of tow factors was combined. Ship accident data, general weather data, and marine weather data were refined by propensity score matching(PSM) method. We observed that significant digging, wind speed, daily precipitation, and barometric pressure affected ship accidents in Busan. Also we found that wind speed, daily precipitation, and temperature affected ship accidents in Incheon. In future studies, the factors of ship accidents should be modeled by considering the regional difference. -
dc.description.tableofcontents 1. 서론 1 2. 이론적 배경 2.1 선박사고의 개념 5 2.2 선박사고의 종류 6 2.3 상향점수 매칭 8 2.4 로지스틱 회귀분석 10 2.5 의사결정 나무 12 3. 연구 방법 3.1 자료수집 절차 16 3.2 자료 소개 19 4. 통계분석 결과 4.1 로지스틱 회귀분석 결과 21 4.2 의사결정 나무분석 결과 25 5. 고찰 및 결론 27 참고 문헌 29 부록 31 -
dc.format.extent 41 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.title 선박사고에 영향을 주는 자연적 요인에 관한 통계 분석 -
dc.type Dissertation -
dc.date.awarded 2017-02 -
dc.contributor.department 대학원 데이터정보학과 -
dc.description.degree Master -
dc.subject.keyword Decision tree, Logistic regression, Natural factors, Propensity score matching, Ship accidents -
dc.type.local Text -
dc.identifier.holdings 000000001979▲000000006780▲000002330712▲ -
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데이터정보학과 > Thesis
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