• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.427-439
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• 2017

Quade (1967) proposed RANK ANCOVA, which is a nonparametric method to test differences between treatments when there are covariates. Hwang and Kim (2012) also proposed a joint placement test on covariate-adjusted residuals. In this paper, we proposed a new nonparametric method to control the effect of covariate on a response variable that uses linear statistics on covariate adjusted-residuals. The score function used in the linear statistics was proposed by Jeon and Kim (2016). Monte Carlo simulation is also conducted to compare the empirical powers of the proposed method with previous methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.784-789
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• 2004

최근 기상이변으로 인한 이상홍수가 전국적으로 빈발하게 발생하고 있고 홍수에 의한 인명과 재산피해는 과거와는 비교할 수 없을 정도로 규모가 커지고 있다. 이와 같은 수해 피해를 경감시키기 위한 치수사업의 필요성은 인식하고 있으나 사업타당성을 정확하고 객관적으로 분석할 수 있는 경제성분석 방법이 미진한 실정이다. 따라서, 본 연구에서는 현재 국내에서 사용중인 치수경제성분석의 문제점을 파악하고 선진외국의 사례와 비교분석하여 개선방향을 도출하고 현재의 여건에서 정확성을 높일 수 있는 방법을 검토하고자 한다. 주된내용은 예상피해지역의 일반자산조사(건물, 건물내용물, 농경지, 농작물, 사업체유형${\cdot}$재고자산)를 통하여 $100\%$피해규모를 산정하고, 이 후에 침수심조건에 따라 피해율을 적용하여 예상홍수피해액을 산정한다. 기존의 침수면적 피해액의 회귀분석법과는 달리 각지역(시${\cdot}$군)의 통계연보를 중심으로 피해액을 산정하기 때문에 지역특성을 반영할 수 있으며, 또한 GIS와 연계되어 침수면적뿐만아니라 침수심의 공간적 분포를 검토하여 피해액을 보다 정확하게 산정할 수 있다.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.281-290
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• 2020

The purpose of this study was to examine how the consumer's entertainment, information, relevance, reliability, and perceived invasion affect the avoidance of advertising. Besides, the purpose of this study was to examine whether there is a difference according to the country and age in the effect of advertisement characteristics on the evasion. This study investigated the avoidance of mobile advertising among 254 Koreans and Chinese publics in their 20's and 40's, evaluated the results in terms of comparative analysis. Collected data were verified by multiple regression analysis and hierarchical regression analysis. The higher the advertising entertainment and relevance, the lower the avoidance of advertising. The higher the perceived penetration, the higher the avoidance of advertising. Besides, there were differences by country and age in the effects of advertising entertainment, information, relevance, and reliability on ad avoidance. The implications of this study are to find out how to reduce the mobile advertising avoidance of consumers by identifying the predictive factors that cause the avoidance of advertisements by country and age.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.29-37
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• 2017

It has gradually become important to estimate a forest stand volume utilizing LiDAR data. Recently, various statistical models including a linear regression model has been introduced to estimate a forest stand volume using LiDAR data. One of limitations of the current approaches is in that the accuracy of observed forest stand volume data, which is used as a response variable, is questionable unstable. To overcome this limitation, we consider a spatial structure for a forest stand volume. In this research, we propose a hierarchical model for applying a spatial structure to a forest stand volume. The proposed model is applied to the LiDAR data and the forest stand volume for Bonghwa, Gyeongsangbuk-do.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.14-22
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• 2011

This study is to estimate delay time model of signalized intersection by using travel data of Bus Information System. BIS, which applies the advanced information technology to an existing bus system, has been developing and operating in many cities. However, even though some useful traffic informations have been collected from BIS operation, utilization of real-time data to the traffic operation has not been promoted due to the inhomogeneity of modal speeds. Accordingly, in this study, a fundamental research is performed for traffic controls in urban areas and providing a traffic information throughout a methodology for estimating delay time using the data from BIS was developed. This delay time model setting bus travel time excluding service time of a bus stop as explanatory variables was constructed as a regression model, and the coefficient of determination of a linear regression model most highly appeared as 0.826. As a result of performing T-test with field survey values and model estimation values for verifying constructed models statistically, it was analyzed to be statistically significant in a confidence level of 95%.

• Journal of Korean Tunnelling and Underground Space Association
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• v.13 no.3
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• pp.261-275
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• 2011

To maintain the traffic flow during tunnel expansion, cars must be protected from falling rocks during excavation and to do so, a protector has to be installed inside the tunnel before beginning the excavation. In Korea, tunnel expansion by blasting rather than by mechanical excavation has been widely achieved. For this reason, a series of numerical analysis were performed to analyze the characteristics of impact load according to material behaviour of blasted rock by using Explicit FEA program. From the numerical results, it is found that the impact loads when rock is assumed as an elastic-plastic material appear to be only 7~12% compared with that when it is elastic.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.329-338
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• 2011

Terminology recognition system which is a preceding research for text mining, information extraction, information retrieval, semantic web, and question-answering has been intensively studied in limited range of domains, especially in bio-medical domain. We propose a domain independent terminology recognition system based on machine learning method using dictionary, syntactic features, and Web search results, since the previous works revealed limitation on applying their approaches to general domain because their resources were domain specific. We achieved F-score 80.8 and 6.5% improvement after comparing the proposed approach with the related approach, C-value, which has been widely used and is based on local domain frequencies. In the second experiment with various combinations of unithood features, the method combined with NGD(Normalized Google Distance) showed the best performance of 81.8 on F-score. We applied three machine learning methods such as Logistic regression, C4.5, and SVMs, and got the best score from the decision tree method, C4.5.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.863-874
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• 2017

Wins above replacement (WAR) is the most commonly used statistics of the many sabermetrics that measure baseball players' abilities. The advantage of a WAR is that it enables to compare performances of players even though they have different roles such as pitcher and hitter. However, WAR is difficult to obtain with common records. Thus, in this paper, we have calculated the sabermetrics variable based on Korean professional baseball records for the past three years (2014-2016). Using these variables, we suggest starting pitcher ability index that can replace WAR. Starting pitcher ability index was calculated by means of arithmetic mean, weighted average and principal component regression. Then, compared to the WAR, the most relevant method was selected, which would be useful to identify for the starting pitcher ability.

• 한국노년학
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• v.38 no.4
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• pp.945-962
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• 2018

This study was aimed to examine the association between resilience and mental health among individuals aged 65 and older. The number of the sample was 2,004 older people living in Chuncheon city. The dependent variables were measured with depression and mental well-being. Depression was measured by the Center for Epidemiological Studies-Depression(CES-D) 10 items. Mental well-being was measured by Korean version of the Mental Health Continuum-Short Form(K-MHC-SF). The independent variable, resilience, was measured with the Connor-Davidson Resilience Scale(CD-RISC). Adjusted for age, gender, region, education, living arrangement, religion, employment, income, and self-rated health, a logistic regression analysis result showed that resilience was negatively associated with depression among older adults. On the other hand, a multiple regression analysis result showed that resilience was positively associated with mental well-being among older adults. The study findings suggest that resilience can promote mental health in later life. Implications for older adults suffering from mental health problems are also discussed.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.591-618
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• 2023

This paper evaluates the performance of various distribution assumptions in regression settings for estimating insurance loss. The gamma distribution is commonly used to handle the asymmetry property of loss distribution. However, recent studies highlight the significance of heavy-tailedness in loss distribution. Through an analysis of real home fire insurance data, we compare the effectiveness of different distribution assumptions in regression methods. Our findings show that the choice of parametric distributional assumption is crucial in determining premiums for various insurance products, including "excess of loss insurance" and "limit insurance". Additionally, we discuss practical considerations for applying our results in home fire insurance.