• 제목/요약/키워드: Statistics Korea

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특별기고: 국내 통계학계에 기여한 김준보 선생의 업적과 시사점 (Special contribution: Dr. Junbo Kim's contributions to the advancement of statistics in Korea and implications)

  • 최종후
    • 응용통계연구
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    • 제33권3호
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    • pp.229-238
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    • 2020
  • 국내 대학에 '통계학과'가 최초로 개설된 해는 1962년이니 국내 대학에 통계학이 독자적인 학문 영역으로 자리 잡은지 어언 57년이 지났다. 김준보 선생은 국내 대학 최초 통계학과인 고려대 통계학과에 처음으로 부임한 전임 교원으로 이 땅 통계학 여명기에 통계학 교재 저술에 힘썼으며, 또한 1971년 한국통계학회 창설을 주도하고 초대 회장을 맡아 국내에 통계학이 독자적 학문영역으로 자리매김 할 수 있는 초석을 마련하셨다. 본고에서는 두 가지 논의를 중심으로 연구한다. 하나는 한국통계학회 태동과 김준보 선생, 다른 하나는 이 땅 통계학 여명기에 선생이 저술한 통계학 분야 두 권의 책을 개관한다. 『현대통계학 : 통계와 추계의 종합체계』 (Kim, 1954), 『추측통계 : 표본조사와 실험계획법 입문』 (Kim, 1956)이 그것이다.

Durbin-Watson Type Unit Root Test Statistics

  • Kim, Byung-Soo;Cho, Sin-Sup
    • Journal of the Korean Statistical Society
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    • 제27권1호
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    • pp.57-66
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    • 1998
  • In the analysis of time series it is an important issue to determine whether a time series under study is stationary. For the test of the stationary of the time series the Dickey-Fuller (DF) type tests have been mainly used. In this paper, we consider the regular unit root tests and seasonal unit root tests based on the generalized Durbin-Watson (DW) statistics when the errors are independent. The limiting distributions of the proposed DW-type test statistics are the functionals of standard Brownian motions. We also obtain the finite distributions and powers of the DW-type test statistics and compare the performances with the DF-type tests. It is observed that the DW-type test statistics have good behaviors against the DF-type test statistics especially in the nonzero (seasonal) mean model.

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Developing the Quality Assessment Indicators for the National Processing Statistics of Korea

  • Kim, Soo-Taek;Jeong, Ki-Ho;Kim, Seol-Hee
    • Communications for Statistical Applications and Methods
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    • 제14권3호
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    • pp.649-665
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    • 2007
  • The improvement of quality is a continuous process and one of the main objectives of the Statistical Strategy launched by the Korea National Statistical Office (KNSO) is the enhancement of the quality of Korea national statistics. In this paper, we define the processing statistic, classify the Korea national processing statistics, and develop the quality indicators and check list for assessing the national processing statistics of Korea. During its development, the indicators has been discussed with the processing statistic managers of the KNSO and the checklist tested in a pilot study covering a variety of processing statistic areas.

식품의약품안전처 통계 활용 활성화를 위한 개선과제 도출 (A Study on Improvement Issues to Activate the Statistics Utilization of the Ministry of Food and Drug Safety)

  • 정다은;김진민
    • 디지털산업정보학회논문지
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    • 제17권4호
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    • pp.133-146
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    • 2021
  • In the field of food and drug, the role of the Ministry of Food and Drug Safety is becoming more important for national and public safety as well as national development and improvement of public welfare. Food and drug statistics are being used to determine the priorities and directions of policy for the promotion of public health and the development of the health industry. This study focuses on statistics from the MFDS. Through the analysis of the MFDS's statistics, the current status of the MFDS's production statistics was identified, and the survey of utilization and satisfaction of the MFDS's statistics was conducted on food and drug experts who actually use the statistics of the MFDS. In order to identify problems of the MFDS statistics, environmental factors affecting the MFDS statistics were derived, and the priorities of improvement tasks for its statistics were identified using AHP and IPA. In addition, the current situation of the statistical system, which serve as the basic coordinate for the establishment and execution of domestic food and drug policies, was identified and implications were provided.

국방경영 효율화를 위한 분석형 통계시스템 구축 (The Developing of Analytical Statistics System for the Efficiency of Defense Management)

  • 이정만
    • 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.

Simultaneous Unit Roots Tests for Both Regular and Seasonal Unit Roots

  • Sinsup Cho;Jeong Hyeong Lee;Young Jin Park;Heon Jin Park
    • Communications for Statistical Applications and Methods
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    • 제4권3호
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    • pp.663-676
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    • 1997
  • We obtain the simultaneous unit roots test statistics for both regular and seasonal unit roots in a time series with possible seasonal deterministic trends. The limiting distributions of the proposed test statistics are derived and empirical percentiles of the test statistics are tabulated for some seasonal periods. The power and size of the test statistics are examined for finite samples through a Monte Carlo simulation and Compared with those of the Lagrange multiplier test.

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A Bayesian Approach for Record Value Statistics Model Using Nonhomogeneous Poisson Process

  • Kiheon Choi;Hee chual Kim
    • Communications for Statistical Applications and Methods
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    • 제4권1호
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    • pp.259-269
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    • 1997
  • Bayesian inference for a record value statistics(RVS) model of nonhomogeneous Poisson process is considered. We seal with Bayesian inference for double exponential, Gamma, Rayleigh, Gumble RVS models using Gibbs sampling and Metropolis algorithm and also explore Bayesian computation and model selection.

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통계교육 연구의 역사와 한국의 통계교육 (History of the Research on Statistics Education, and Statistics Education in Korea)

  • 탁병주;이경화
    • 한국수학사학회지
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    • 제30권5호
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    • pp.305-323
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    • 2017
  • Statistics was not recognized until the early 20th century as an independent science, and statistical education research came to an international milestone in the late 1940s. The purpose of this study is to investigate the historical development of statistics education research, focusing on the activities of the International Statistical Institute (ISI) and the International Association for Statistical Education (IASE). Statistics education in Korea is considered with regard to the history of international research on statistics education in this study. It implies for the direction of statistical education research to domestic mathematics education researchers and statistical researchers related to statistical education research.

Food and Agriculture Statistics of the UN-FAO

  • Kim, Joo-Hwan
    • Communications for Statistical Applications and Methods
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    • 제10권1호
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    • pp.39-48
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    • 2003
  • Quality in agriculture statistics at the international level is very important to all countries in the world. We investigate international organizations which produce worldwide agricultural statistics. The UN-FAO is one of the most important organization in agricultural statistics fields. We first introduce the Statistics division in FAO and present some considerations like production, reliability, quality of the agriculture data from my own experience as a consultant in FAO and Ministry of Agriculture and Forestry in Korea.