• 응용통계연구
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• 제25권5호
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• pp.733-741
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• 2012

The successful launch of Arirang satellites allow the acquisition of high resolution satellite imagery of Korean territory and enables the transition from the conventional cultivation area survey method to new image based methods adopted in advanced nations. In this study, we suggested reasonable sizes of the primary sampling unit and the secondary sampling unit for the satellite imagery based sampling design in 8 provinces preselected for this research. The PSU size was determined mainly in consideration of intracorrelation that shows the degree of homogeneity within each cluster and the efficiency of the image process. For the SSU size, we considered the relative standard error and the differences between the land cover maps produced by the Ministry of Environment and the satellite imagery processed by the National Statistical Office.

• 응용통계연구
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• 제25권5호
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• pp.859-864
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• 2012

Poisson regression and negative binomial regression are usually used to analyze counting data; however, these models are unsuitable for fit zero-inflated data that contain unexpected zero-valued observations. In this paper, we review the zero-inflated regression in which Bernoulli process and the counting process are hierarchically mixed. It is known that zero-inflated regression can efficiently model the over-dispersion problem. Vuong statistic is employed to compare performances of the zero-inflated models with other standard models.

• 응용통계연구
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• 제32권6호
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• pp.879-887
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• 2019

본 연구에서는 이표본 구간 자료의 확률적 순서 검정 절차를 제안한다. 제안하는 검정 통계량은 U-통계량에 해당하며 본 연구에서는 이에 대한 점근적 분포를 귀무 가설 하에서 유도하였다. 실제 자료와 모의 실험을 통해 새로 제안한 방법의 성능을 단측 이변량 Kolmogorov-Smirnov 검정법과 비교한다.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1998년도 제50차 추계 학술대회 연제집
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• pp.72-73
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• 1998

• 한국한의학연구원논문집
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• 제13권1호통권19호
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• pp.125-128
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• 2007

Objective : This study aims to review the current status and problems of Korean Medicine and attempts to come up with the means to present a comprehensive and effective set of statistical data. Methods : We have analyzed the current statistics and tried to show how to establish an effective system to gather and organize statistics related to Korean Medicine, including national surveys by the Ministry of Health and Welfare or other relevant insititutions. Results : The existing statistics in Korean Medicine were established not as a result of national demand based on comprehensive analysis but due to the demand of the government ministries such as the Ministry of Health and Welfare or other relevant institutions. Thus, the statistics have been revealed to possess limitations such as a lack of systemization and consistency. In addition, the statistics analyze only the current industrial status of Korean Medicine, and as a result the information in unable to show systematic data for innovation, which is indispensable for the advancement and development of the Korean Medicine industry. Conclusion : To improve the statistical data in Korean Medicine, the statistics need to get over not only the level of management or regulation in Korean Medicine, but also the production of fragmentary statistics. It has to ultimately reflect the innovative activities in Korean Medicine nationally, and show what we need to advance and develop the industry.

• Journal of the Korean Data and Information Science Society
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• 제13권1호
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• pp.1-16
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• 2002

In this paper, we suggest and implement an on-line survey and analysis system based on the database structure. We can do trends analysis in this system and reduce the number of function because we can treat basic algorithms on the database.

• Communications for Statistical Applications and Methods
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• 제27권1호
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• pp.109-128
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• 2020

A climate-impact projection usually consists of several stages, and the uncertainty of the projection is known to be quite large. It is necessary to assess how much each stage contributed to the uncertainty. We call an uncertainty quantification method in which relative contribution of each stage can be evaluated as uncertainty decomposition. We propose a new Bayesian model for uncertainty decomposition in climate change impact assessments. The proposed Bayesian model can incorporate uncertainty of natural variability and utilize data in control period. We provide a simple and efficient Gibbs sampling algorithm using the auxiliary variable technique. We compare the proposed method with other existing uncertainty decomposition methods by analyzing streamflow data for Yongdam Dam basin located at Geum River in South Korea.

• Communications for Statistical Applications and Methods
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• 제19권6호
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• pp.771-780
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• 2012

In the current analysis, we examine news coverage data widely used in media studies. News coverage data is usually time series data to capture the volume or the tone of the news media's coverage of a topic. We first describe the distributional properties of autoregressive conditionally heteroscadestic(ARCH) effects and compare two major American newspaper's coverage of U.S.-North Korea relations. Subsequently, we propose a change point detection model and apply it to the detection of major change points in the tone of American newspaper coverage of U.S.-North Korea relations.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 추계학술발표대회
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• pp.9-10
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• 2022

본 논문에서는 재난관련 스마트시티 플랫폼의 효율적 운영을 위한 기본단계로서 공개 데이터 사이트에서 다운로드받은 구급활동 일지 기록을 분석하여 환자들의 연령분포, 환자들의 상태, 월별발생추이, 출동 거리 등에 대한 기초자료를 추출한다. 공개에 동의한 환자들의 경우 사전에 자신의 의료 혹은 건강정보들을 기록해 놓음으로써 구급활동 절차를 많이 감소시킬 수 있으며 이 데이터 분석에 의해 추가될 구급 지구대의 위치와 구급차량의 수 등 다양한 의사결정을 수행할 수 있다.

• 응용통계연구
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• 제37권1호
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• pp.49-59
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• 2024

2010년을 전후로 미국에서 시작된 데이터과학의 인기는 국내 대학의 여러 통계학과 교육에 큰 영향을 주고 있다. 그러나 국내 학술지에서는 데이터과학을 효율적으로 교육하기 위한 컴퓨팅 환경 구축과 활용을 다루는 연구 결과는 많지 않다. 본 논문은 국내의 통계학과 및 데이터과학 관련 학과의 교육과 연구에 적합한 컴퓨팅 인프라 구축과 활용에 관한 문제를 논의하고 해결책을 제시한다.