• Journal of The Korea Institute of Healthcare Architecture
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• v.15 no.3
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• pp.61-69
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• 2009

This study has been started in order to provide basic information for the planning of Korean elderly care facilities by analysing For-profit elderly homes of Japan. Japan is famous for her high elderly proportion and also her fast aging speed. Therefore, Japanese experiences of trials and errors related to the supply of elderly homes will be a good guideline for Korea which is undergoing the sharp increase in elderly population. Data have been mainly collected from the official statistics of Japan and Korea. The outcomes of this study are as follows. At first, the definition of For-profit elderly homes of Japan has been proposed clearly. Secondly, the trends of them related to supply and operational characteristics have been analysed. Thirdly, the size and utilization rate of them have been analysed. And finally, the physical characteristics of elderly residences in For-profit elderly homes of Japan have been discussed.

• Journal of Korean Society of Rural Planning
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• v.15 no.4
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• pp.147-160
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• 2009

In 1977, the Main Street Program(MSP) of the United States was founded by the National Trust for Historic Preservation to revitalize downtowns which suffered major declines in their economy and population. This study analyzed the methodology of MSP such as the Four-Point Approach and the Eight Principles, history of MSP, local program organizational structure, local program budgets and funding, official designation and so on. Three successful cases were discussed the background of an introduction to MSP, implementations, results and revitalization statistics. To be able to apply rural development projects in Korea, this study showed the implications such as the need for a program's ethic and methodology, a strong public-private partnership, a dedicated organization, a full-time professional program manager, a commitment to good design and comprehensive work plan, and an educational program of ongoing training for staff, volunteers and other residents.

• Korean Journal of Agricultural Science
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• v.37 no.2
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• pp.315-321
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• 2010

Decision-makings or the related policies regarding domestic grape production heavily depends upon the known market price data and official statistics periodically announced by government, at national level. However, usual adaption of the 'simple means' from these data may bring seriously biased decision-makings when the original data are biased, especially when the data are not convinced to be normal distributions to decision makers. In this regards, this study employs Monte Carlo simulation technique to overcome the limitations, based on the decision makers' subjective assumptions on the known data, and, tries to come up with flexible range of business information regarding grape-producing farm income. The approach used in this study also provides possibility that it may be useful when adapting subjective assumptions from various statistical distributions.

• Asia Pacific Journal of Corpus Research
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• v.2 no.2
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• pp.31-41
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• 2021

This paper makes a quantitative analysis of the diachronic evolution of ancient Chinese vocabulary by constructing and counting a large-scale rough annotated corpus. The texts from Si Ku Quan Shu (a collection of Chinese ancient books) are automatically segmented to obtain ancient Chinese vocabulary with time information, which is used to the statistics on word frequency, standardized type/token ratio and proportion of monosyllabic words and dissyllabic words. Through data analysis, this study has the following four findings. Firstly, the high-frequency words in ancient Chinese are stable to a certain extent. Secondly, there is no obvious dissyllabic trend in ancient Chinese vocabulary. Moreover, the Northern and Southern Dynasties (420-589 AD) and Yuan Dynasty (1271-1368 AD) are probably the two periods with the most abundant vocabulary in ancient Chinese. Finally, the unique words with high frequency in each dynasty are mainly official titles with real power. These findings break away from qualitative methods used in traditional researches on Chinese language history and instead uses quantitative methods to draw macroscopic conclusions from large-scale corpus.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.486-490
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• 2015

SWOT model was used to develop strategies for the Korean construction firms in entering the global construction market. Literature review, official statistics survey and other research methods were utilized in order to extract internal and external environmental factors of both the firm and local area. By extracting strength, weakness, opportunity and threat factors, a total of 12 strategies were produced: SO (Strengths-Opportunities), ST (Strengths-Threats), WT (Weaknesses-Threats), and WO (Weaknesses-Opportunities). The result of the study can be utilized as a basic data in developing a strategy for the Korean construction firms to penetrate into the global construction market.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.2
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• pp.29-36
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• 2014

The accident statistics use the data from police accident reports and statistics. Although the official accident statistics are useful, they provide very limited information about how accidents occur, the cause of the accident and the injury mechanisms. This limitations could be overcome by carrying out the in-depth accident study and analysing investigations, collecting more detailed information. Meanwhile a net of in-depth investigation teams are operating worldwide, such as NASS (National Accident Sampling System) and CIREN (Crash Injury Research and Engineering Network) in US, OTS (On the spot investigation) in UK. In this study, the database structure and variables of Korea in-depth accidents investigation system would be proposed through considering the database structure of GIDAS (Germany In-Depth Accidents Study). GIDAS is one of the best system on the in-depth accident study system in the world. GIDAS was established in 1999 as a cooperation project between Federal Highway Research Institute of Germany (BASt) and research association on automotive engineering of German Car Industry(FAT). The iGLAD (Initiative for the Global Harmonization of Accident Data) was also considered to introduce into the database variables of Korea in-depth accident study. Current police reports were compared with GIDAS and iGLAD. To collaborate of the Worldwide in-depth accident data, this paper proposed that the database of Korea in-depth accident study would be introduced the structure of GIDAS and the core variables of iGLAD. Harmonization of the structures and core variables of Korea in-depth accident study will be better than the making unique ones. The database structure and core variables of KIDAS(Korea In-Depth Accident Study) introduced of GIDAS and iGLAD.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.419-446
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• 2012

National statistical system in Korea has developed along with national economic agenda such as a government oriented high economic growth and has formed to a typical diversified statistical system. While the national statistics have been produced whenever they are needed, they are facing the critics that production of basic statistics were lack of balance. Grasping the statistical demand properly, enhancing the statistical concurrence with international organization, preventing the production of overlapped and similar statistics, and improving the professionalism of manpower in statistical industry are the structural problems that Korean statistical system has to get over. It is important to strengthen the coordination mechanism and the governance structure of the national statistical system to level up the integrity and credibility of statistical program. The length of Chief Statistician's tenure need to be assured.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.697-710
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• 2021

Relative error prediction is preferred over ordinary prediction methods when relative/percentile errors are regarded as important, especially in econometrics, software engineering and government official statistics. The relative error prediction techniques have been developed in linear/nonlinear regression, nonparametric regression using kernel regression smoother, and stationary time series models. However, random effect models have not been used in relative error prediction. The purpose of this article is to extend relative error prediction to some of generalized linear mixed model (GLMM) with panel data, which is the random effect models based on gamma, lognormal, or inverse gaussian distribution. For better understanding, the real auto insurance data is used to predict the claim size, and the best predictor and the best relative error predictor are comparatively illustrated.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.4
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• pp.125-147
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• 2023

This study analyzes the current status of reading programs in public libraries based on literature research and data from the National Library Statistics System to derive implications and, based on this, to determine policy directions necessary to revitalize reading programs in public libraries in the future. First, based on the implications derived from the analysis, a plan for securing and sharing data on reading activities in public libraries. Second, the results of a correlation analysis of factors related to the planning and operation of reading programs present to suggest ways to revitalize sustainable reading programs. Third, the improvement of reading program evaluation indicators and expanding qualitative evaluation and creating an official mechanism to collect opinions from public libraries on a regular basis by the Ministry of Culture, Sports and Tourism and the Korean Library Association. Fourth, a cooperative network between public libraries that held reading competitions was proposed.

• Journal of Labour Economics
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• v.39 no.2
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• pp.113-139
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• 2016

The purpose of this study is to establish evaluation model that can explain marginal effects of baseball players of Korean Baseball Organization (KBO) on their team winnings in terms of productivity. We proposed econometric model with using variables that are provided from official homepage of KBO to overcome the complexity of mainly used productivity index: wins above replacement (WAR). Also, compare to the previous studies such as Scully(1974) or Krautmann(1999) that using limited indices of baseball stats, this study included 61 indices that are provided from official homepage of KBO. We estimated regression based WAR(RBWAR) by conducting panel regression with each team's statistics data of 2002 to 2014. As a results, RBWAR shows 0.869 correlation coefficient for batters and 0.882 for pitchers with WAR in 2014 that can be concluded that two indices shows similar results. From the results of estimation, we analyze the relationship between productivity and actual contract of free agent players in 2015 and it showed that teams have contracted reasonably.