• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1075-1091
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• 2015

This paper reviews the developments of econometric analysis and seeks a statistical applicability to current economic phenomena. During the last half century, economic analysis has progressed continuously, analyzing and predicting a broad variety of economic phenomena. In the center of this progress lies the remarkable contribution of econometrics and mathematical statistics. New economic research environment has been recently created via developments of IT and the spread of internet and SNSs. Economic phenomena has become increasingly complicated along with more volatile and sophisticated economic analysis. In that context, it can be suggested that there is a need to move beyond current economic paradigms and adapt new approaches such as complex theory and econophysics, all of which posits as a challenge for econometrics and statistics.

• Bulletin of Korea Environmental Preservation Association
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• s.406
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• pp.2-4
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• 2013

인류가 언제부터 수(數: 사물을 세어서 나타낸 값)와 수치(數値: 수를 연산하여 얻은 값) 개념을 이해하고 사용했을까? 정확히 알 수는 없지만 개인들이 재산을 소유하게 되면서 가축이나 그 밖의 물품에 대해 기록하고 파악할 필요가 생긴 이후부터라고 추측된다. 이후 이것은 수리(數理: 수에 대한 이치)로 까지 발전하여 천문학, 통계학, 건축학, 물리학 등 다양한 학문의 기초가 되었으며 인류문영이 일진하는데 토대가 되었다.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.643-650
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• 2011

Recently the needs for education on Statistics is growing bigger, but a mathematics-oriented education makes college students loose interest in Statistics. On the hypothesis that motivating interest is the key factor for learning, we need to develop an education tool for Statistics that makes learners to study independently but throughly. By using Excel Macro, we develop and introduce add-in program, called PETS, which supplies not only results but also process to get them.

• Tunnel and Underground Space
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• v.17 no.6
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• pp.493-502
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• 2007

Measurements of hydraulic conductivity are point or interval values, and are highly limited in their number. Meanwhile, results of geophysical prospecting can provide the information of spatial variation of geology, and abundant in number. In this study, it was aimed to develop a data integration tool for constructing a hydraulic conductivity map by integrating geophysical data and hydraulic conductivity measurements. The developed code employed a geostatistical optimization method, simulated annealing (SA), and consists of 4 distinct computation modules by which from exploratory data analysis to postprocessing of the simulation were processed. All these modules are equipped with Graphical User Interface (GUI). Validation of the developed code was evaluated in-situ in characterizing hydraulic characteristics of highly permeable fractured zone.

• 한국데이터정보과학회:학술대회논문집
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• 2004.04a
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• pp.175-181
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• 2004

This paper develops a course named $\ulcorner$Academic Itnernship Program$\lrcorner$ that is designed to be offered jointly by the Statistics department and the Mathematics department. Our aim of developing the course is as follows. This program enhance students' academic and career goals. This program provides students with opportunities to apply classroom theory to real world situations. Students learn a practical theory that is actually used in the real industry. This program enhance students' skills and abilities. This provide financial assistance. Students get a competitive edge in employment after graduation.

• The Korean Journal of Applied Statistics
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• v.36 no.2
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• pp.141-166
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• 2023

This paper investigates synthetic data generation methods and their evaluation measures. There have been increasing demands for releasing various types of data to the public for different purposes. At the same time, there are also unavoidable concerns about leaking critical or sensitive information. Many synthetic data generation methods have been proposed over the years in order to address these concerns and implemented in some countries, including Korea. The current study aims to introduce and compare three representative synthetic data generation approaches: Sequential regression, nonparametric Bayesian multiple imputations, and deep generative models. Several evaluation metrics that measure the utility and disclosure risk of synthetic data are also reviewed. We provide empirical comparisons of the three synthetic data generation approaches with respect to various evaluation measures. The findings of this work will help practitioners to have a better understanding of the advantages and disadvantages of those synthetic data methods.

• The Korean Journal of Applied Statistics
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• v.31 no.6
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• pp.761-769
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• 2018

Simulations are important for survival analyses that deal with censored data. Cox models are widely used in survival analyses, therefore, we investigate how to generate censored data that can simulate the Cox model. Bender et al. (Statistics in Medicine, 24, 1713-1723, 2005) provided a parametric method for generating survival times, but we need to generate censoring times as well as survival times to simulate the censored data. In addition to the parametric method for generating censored data, a nonparametric method is also proposed and applied to a real data set.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.34 no.2
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• pp.53-69
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• 2021

Objectives : The purpose of this study is to analyze the effects of treatment between Western medicine and Korean medicine on Allergic rhinitis patients using national population-based claim data from the Health Insurance Review and Assessment Service. Methods : The subjects of the study were 30,024 patients in the Korean medicine group and 30,024 in the Western medicine group who were diagnosed with Allergic rhinitis from September 1, 2018 to December 31, 2018. Propensity score analysis was used for matching age, sex, etc. at a ratio of 1:1. Cox regression and subgroup analysis were used to estimate the adjusted hazard ratio of recurrence, Asthma, and Atopic dermatitis in Korean medicine group and Western medicine group. In addition, the total treatment period, total treatment cost, and average cost per day of visit were compared and analyzed. Results : Compared to Korean medicine, Western medicine had a significantly higher risk of recurrence at 1.701 times, Asthma occurrence risk at 1.609 times and Atopic dermatitis occurrence risk at 1.098 times. Compared to Western medicine, the total treatment period of Korean medicine was 14.27 days longer, the total treatment cost was 53,591 won more, and the average cost per day was 7,539 won more. Conclusions : This study is a retrospective cohort study using the propensity score matching in Korea to compare the outcomes of Allergic rhinitis between Western medicine and Korean medicine. Further research is needed by considering patients characteristics, and linking with additional data.

• Journal of Environmental Science International
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• v.28 no.8
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• pp.701-707
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• 2019

Highland farming is agriculture that takes place 400 m above sea level and typically involves both low temperatures and long sunshine hours. Most highland Chinese cabbages are harvested in the Gangwon province. The Ubiquitous Sensor Network (USN) has been deployed to observe Chinese cabbages growth because of the lack of installed weather stations in the highlands. Five representative Chinese cabbage cultivation spots were selected for USN and meteorological data collection between 2015 and 2017. The purpose of this study is to develop a weight prediction model for Chinese cabbages using the meteorological and growth data that were collected one week prior. Both a regression and random forest model were considered for this study, with the regression assumptions being satisfied. The Root Mean Square Error (RMSE) was used to evaluate the predictive performance of the models. The variables influencing the weight of cabbage were the number of cabbage leaves, wind speed, precipitation and soil electrical conductivity in the regression model. In the random forest model, cabbage width, the number of cabbage leaves, soil temperature, precipitation, temperature, soil moisture at a depth of 30 cm, cabbage leaf width, soil electrical conductivity, humidity, and cabbage leaf length were screened. The RMSE of the random forest model was 265.478, a value that was relatively lower than that of the regression model (404.493); this is because the random forest model could explain nonlinearity.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.75-83
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• 2022

Korea, which has the highest pedestrian fatality rate among OECD countries, is making efforts to improve the safe walking environment by enacting laws focusing on pedestrian. Spatial clustering was conducted with scan statistics after examining the social network data related to traffic accidents for children and seniors. The word cloud was used to examine people's recognition Campaigns for children and literature survey for seniors were in main concern. Naedang and Yongsan are the regions with the highest relative risk of weak pedestrian for children and seniors. On the contrary, Bongmu and Beomeo are the lowest relative risk region. Naedang-dong and Yongsan-dong of Daegu Metropolitan City were identified as vulnerable areas for pedestrian safety due to the high risk of pedestrian accidents for children and the elderly. This means that the scan statistics are effective in searching for traffic accident risk areas.