• 산업경영시스템학회지
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• 제38권3호
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• pp.87-94
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• 2015

Recently, management based on statistical data has become a big issue and the importance of the statistics has been emphasized for the management innovation in the defense area. However, the Military Management based on the statistics is hard to expect because of the shortage of the statistics in the military. There are many military information systems having great many data created in real time. Since the infrastructure for gathering data form the many systems and making statistics by using gathered data is not equipped, the usage of the statistics is poor in the military. The Analytical Defense Statistics System is designed to improve effectively the defense management in this study. The new system having the sub-systems of Data Management, Analysis and Service can gather the operational data from interlocked other Defense Operational Systems and produce Defense Statistics by using the gathered data beside providing statistics services. Additionally, the special function for the user oriented statistics production is added to make new statistics by handling many statistics and data. The Data Warehouse is considered to manage the data and Online Analytical Processing tool is used to enhance the efficiency of the data handling. The main functions of the R, which is a well-known analysis program, are considered for the statistical analysis. The Quality Management Technique is applied to find the fault from the data of the regular and irregular type. The new Statistics System will be the essence of the new technology like as Data Warehouse, Business Intelligence, Data Standardization and Statistics Analysis and will be helpful to improve the efficiency of the Military Management.

• Journal of the Korean Data and Information Science Society
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• 제15권1호
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• pp.83-94
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• 2004

In this study we analyze categorical data by means of spatial statistics and echelon analysis. To do this, we first determine the hierarchical structure of a given contingency table by using echelon dendrogram then, we detect candidates of hotspots given as the top echelon in the dendrogram. Next, we evaluate spatial scan statistics for the zones of significantly high or low rates based on the likelihood ratio. Finally, we detect hotspots of any size and shape based on spatial scan statistics.

• Journal of the Korean Data and Information Science Society
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• 제28권6호
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• pp.1313-1325
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• 2017

GDP, 소비자물가, 국세수지, 실업률 등 경제통계는 시간에 따라 주기적으로 측정되고 있다. 또한 경제통계는 산업, 상품, 지역 등의 분류에 따라 측정된다. 우리의 관심은 경제통계가 시간에 따라 어떤 패턴으로 움직이고, 현시점에서 경제통계는 어떻게 구성되어 있으며, 다른 나라 또는 지역과는 어떤 차이가 있는지 살펴보는 것이다. 통계청, 한국은행 등 통계작성 기관은 보도자료와 웹 등에서 경제통계를 시각화하여 경제통계에 대한 이용자 측면의 편의성을 높이고 있다. 본 연구에서는 통계청, 한국은행의 경제통계 시각화를 검토 정리한 후 언론 등의 경제통계 시각화 결과를 참고하여 향후 경제통계 시각화의 과제를 정리하였다.

• Journal of the Korean Data and Information Science Society
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• 제10권2호
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• pp.299-311
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• 1999

In this paper the single and product moments of order statistics of the doubly truncated Rayleigh distribution are studied. Some recurrence relations of order statistics are derived. Using order statistics, also characterization of the Rayleigh distribution are derived.

• 응용통계연구
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• 제12권1호
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• pp.309-313
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• 1999

To overcome current hardship during recent years of university reform, statistics departments of Korean universities should form a new shape with efficient strategies: First, they should value interdisciplinary and open education to foster scientific generalists rather than specialists (Bode.Mosteller.Tukey.Winsor, 1949). Second, they should work out on developing curriculum and improving educational quality for non-statistics majors (Ahn.Cho.Huh, 1994). The service market is widely open and its value is certainly worthy. Third, they may change their department name from "statistics", of which the social image is not quite right, to "data science" or "data information". Statistics is a field of learning on data methodology (Friedman, 1997). methodology (Friedman, 1997).

• 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.

• 한국학교수학회논문집
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• 제8권2호
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• pp.167-181
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• 2005

통계학을 좀 더 쉽게 이해하며 흥미를 가지고 접근할 수 있도록 하기 위해 다양한 통계교육 방법의 연구가 계속되어지고 있다. 그러나 동계교육에 있어서 항상 겪는 어려운 점 중의 하나는 학생들이 쉽게 받아들일 수 있는 실제 자료가 많지 않다는 것이다. 이는 학생들에게 통계학을 현실과 전혀 관계없는 학문으로 인식시키며 학습 의욕을 저하시키고 통계학을 재미없는 학문으로 인식하게 되는 부정적 결과를 낳게 하였다. 본 연구에서는 웹과 데이터베이스를 활용한 자료 수집 및 공유 프로그램을 활용하여 수업에서 현실감 있고 학생들과 관련이 높은 자료를 활용할 수 있도록 하고 엑셀을 활용하여 학생들이 통계학의 개념과 응용에 더 집중할 수 있는 통계교육 수업방안을 제안한다.

• Journal of the Korean Data and Information Science Society
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• 제18권1호
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• pp.141-148
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• 2007

Recently, Korean national center for education statistics & information exhibits the results of forecast educational statistics from 2007 to 2021 year. The purpose of this paper is to suggest the errors and problems on the results of forecast educational statistics and the distribution of the number of students.

• Journal of the Korean Data and Information Science Society
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• 제18권1호
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• pp.1-10
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• 2007

In this paper, we focus on churn analysis for the first successful candidates in the entrance examination on 2006 year using Clementine, data mining tool. The goal of this study is to apply decision tree including C5.0 and CART algorithms, neural network and logistic regression techniques to predict a successful candidate churn. And we analyze the churning and nochurning successful candidates and why the successful candidates churn and which successful candidates are most likely to churn in the future using data from entrance examination data of K university on 2006 year.

• Journal of the Korean Data and Information Science Society
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• 제19권4호
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• pp.1397-1408
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• 2008

Mathematics develops the ability to solve a problem and the spirit of inquiry by logical thinking, and statistics develops the ability to making a decision scientifically or rationally by various data processing techniques. Even though mathematics is a compulsory subject in most of IT-related departments, the reality of Korean education is serious. This research studies on the necessity of mathematics/statistics education for a person studying IT and analyzes the contents of mathematics/statistics among IT-related subjects. And the research makes a plan for specializing IT-related departments by use of specialized education programs using mathematics/statistics and examines a development plan in the short or long term period for connectivity with mathematics/statistics fields. This connectivity between IT-related departments and mathematics/statistics in the 21st century would certainly contribute to creating more practical or technical knowledge.