• Title/Summary/Keyword: 통계학과 위기

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Department of statistics in the era of information society : crisis\ulcorner chance\ulcorner (정보사회에서의 통계학과 : 위기인가\ulcorner 기회인가\ulcorner)

  • 한경수;최숙희
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.295-304
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    • 1999
  • 통계학을 전공하고 싶어하는 학생이 없는 데도 통계학과를 계속 유지할 수 있을까\ulcorner 통계학과가 없어지더라도 통계학 교수는 대학에 남아 있을 수 있을까\ulcorner 정보사회에서도 현재와 같은 통계학과의 모습이 과연 올바르다고 생각하고 있는가\ulcorner 본 논문의 목적은 현재 통계학과가 갖고 있는 위기는 무엇이며 발전의 기회는 있는가를 논의하자는데 있다.

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Introductory Statistics textbooks: crisis or opportunity? (교양 통계학 교재: 위기인가? 기회인가?)

  • Choi, Sookhee;Han, Kyungsoo
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.105-117
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    • 2022
  • Recently, the number of students taking basic statistics in liberal arts courses at universities nationwide has been increasing significantly. Students who learn statistics only for one semester are more likely to live as consumers than producers of statistical analysis in the future. What consumers need is statistical literacy and thinking skills rather than statistical methods. This paper deals with what points should be considered in order to develop textbooks that improve statistical thinking.

An Analysis of Interaction between Exchange Rates and Stocks in Japan: Focusing on the Comparison between Periods of Financial Crisis and Non-financial Crisis (일본 외환시장과 주식시장 수익간의 관련성분석 : 금융위기와 비금융위기 시기 상호비교를 중심으로)

  • Lee, Keun-Jae;Cho, Nam-Hyung;Zhu, Shi-You;Yi, Seong-Baek
    • International Area Studies Review
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    • v.14 no.1
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    • pp.55-76
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    • 2010
  • This paper analyses interaction between yen/dollar exchange rates and NIKKEI index using bivariate GJR-GARCH(1,1) model. The data employed for the study is daily data series for the period of Jan. 4, 1995 through Aug. 30, 2009. One of main findings is that market inefficiency appears in the periods of financial crisis. Second, the volatility of exchange rates and stock returns has more increased in the wake of the volatility shock of the previous period during financial crisis than during non-financial crisis. Third, interestingly, the asymmetric volatility shock by bad news in those markets is bigger in financial crisis period than in non financial crisis. Fourth, in the period of current global financial crisis triggered by subprime mortgage crisis in U.S, volatility shock at the previous period is bigger than that of Asian financial crisis that happened in 1997. Lastly, the correlation between both returns of exchange rates and stock prices turns up positive according to the empirical estimation. This result may come from the fact that Japanese stock market does not have much attraction for international financial investment compared to stock markets of neighbouring countries like China, Korea and so on, while real sector's contribution to the economy is considered more importantly.

A Insight Study on Keyword of 4th Industrial Revolution Utilizing Big Data (빅데이터 분석을 활용한 4차 산업혁명 키워드에 대한 통찰)

  • Nam, Soo-Tai;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.153-155
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    • 2017
  • 빅데이터 분석은 데이터베이스에 잘 정리된 정형 데이터뿐 아니라 인터넷, 소셜 네트워크 서비스, 모바일 환경에서 생성되는 웹 문서, 이메일, 소셜 데이터 등 비정형 데이터를 효과적으로 분석하는 기술을 말한다. 대부분의 빅데이터 분석 기술 방법들은 기존 통계학과 전산학에서 사용되던 데이터 마이닝, 기계 학습, 자연 언어 처리, 패턴 인식 등이 이에 해당된다. 글로벌 리서치 기관들은 빅데이터를 2011년 이래로 최근 가장 주목받는 신기술로 지목해오고 있다. 따라서 대부분의 산업에서 기업들은 빅데이터의 적용을 통해 가치 창출을 위한 노력을 기하고 있다. 본 연구에서는 다음 커뮤니케이션의 빅데이터 분석도구인 소셜 매트릭스를 활용하여 2017년 5월, 1개월 시점을 설정하고 "4차 산업혁명" 키워드에 대한 소비자들의 인식들을 살펴보았다. 빅데이터 분석의 결과는 다음과 같다. 첫째, 4차 산업혁명 키워드에 대한 연관 검색어 1위는 "후보"가 빈도수(7,613)인 것으로 나타났다. 둘째, 연관 검색어 2위는 "안철수"가 빈도수(7,297), 3위는 "문재인"이 빈도수(5,183)로 각각 나타났다. 다음으로 "4차 산업혁명" 키워드에 대한 검색어 긍정적 여론 빈도수 1위는 새로운(895)으로 나타났고, 부정적 여론 빈도수 1위는 위기(516)가 차지하였다. 이러한 결과 분석결과를 바탕으로 연구의 한계와 시사점을 제시하고자 한다.

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Analyzing the Effects of Low Emission Bus Zones Using Bus Information System Data (버스정보시스템 데이터를 활용한 Low Emission Bus Zone 도입의 탄소배출 저감 효과 분석)

  • Hye Inn Song;Kangwon Shin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.196-207
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    • 2023
  • As part of measures to address the climate crisis, buses are also being converted to electric and hydrogen buses. Local authorities need to prioritize carbon emissions when allocating newly introduced and converted electric and hydrogen buses, and as a method, consider the introduction of Low Emission Bus Zones (LEBZ) to propose the reduction of pollution from specific links. To introduce LEBZ, it is necessary to compare the carbon emissions before and after its implementation, yet there is a shortage of studies that focus solely on buses or analyze the effects of introducing LEBZ to specific links. In this paper, we utilized bus information system data to calculate and compare the effects of introducing LEBZ to bus priority lanes in Jeju. We categorized scenarios into five groups, with scenarios 1 through 4 involving the introduction of LEBZ, and scenario 5 designating cases where LEBZ was not introduced. Comparative results confirmed that in scenarios with LEBZ introduction, the reduction per km reached a maximum of 0.097t per km, whereas in cases without LEBZ, it amounted to 0.022t per km, demonstrating higher efficiency. It underscores the significance of conducting carbon emission calculations and comparing the effects of LEBZ introduction using bus information system data, which can be directly applied by local authorities to make informed and rational decisions.