• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.139-148
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• 2011

u-City projects are different with the existing urban development projects progress via convergence with IT technology. Therefore, it inheres many risk factors more than the existing development projects as including more complexity and variety. The risk management system to systematically manage those risks which get identified and quantified is required. Especially, the planning phase that is appeared the various forms has a large effect on the success of the business. However, the management of risk factors remains in the passive form. So the problems on u-City project in the planning phase and risk factors of existing development business were analyzed for the continuous growth and the successful performance of u-City project, and those risk factors was identified and quantified by using statistical technique. In the results of it, the core risk factors were obtained through which way and the basis for the effective risk management in u-City business is provided.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2907-2915
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• 2018

Journal of the Korean Data Analysis Society founded in 1998 has played the role of a major application journal. In this study, we checked the objective of this journal by checking the abstracts for 10 years. Abstract data was crawled from the online journal site (kdas.jems.or.kr) and analyzed by topic model. As a result, we found 18 topics from 2680 abstracts that had several contents, for example, nursing, marketing, economics, regression, factor analysis, data mining and statistical inferences. Topic1 (regression) is most frequent with 460 documents and we found the usefulness of regression in the applied science area. We confirmed the significant 10 association rules using by Fisher's exact test. Also, for exploring the trend of topics, we conducted the topic analysis for two periods which are 2006-2011 period and 2012-2016 period. We found that the control study was more frequent than survey study over time and regression and factor analysis were frequent regardless of time.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.133-143
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• 2007

The object of this study is to empirically analyze the effects of information support quality and service quality on service satisfaction of department store. To investigate the purpose of this study, literature review and survey were conducted. for statistical analysis, factor analysis, analysis of variance(ANOVA), and regression in order by the contingency grouping method were used. In conclusion of this study are as follows First, The regression analysis had effects on information support quality and service satisfaction. Second, The Analysis of variance(ANOVA) and regression had effects on information support quality and service satisfaction as service quality factors. Result, The information support accuracy and service quality had additional effect about customer relation.

• The Korean Journal of Applied Statistics
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• v.17 no.1
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• pp.1-12
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• 2004

In this paper, we consider choosing the appropriate covariance structure for analyzing repeated measures data with three repeat factors from a study of blood pressure data, which is collected from the local residents of Yangpyeong, Gyeonggi-do (2001) and fitted linear mixed models to find the significant covariates on outcome variable(Blood Pressure)

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.6
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• pp.97-102
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• 2001

This paper is concerned with optimal design of a linear DC motor which is steading fast in OA and FA systems due to simplicity in structure high-speed operation and high-precision positioning. The approach is based on the statistic method. In this study, firstly, we determine factors that affect significantly the objective function using 2-level factorial design. And then the Response Surface Methodology was app1ied to optimize these factors. Through this application design factors could be optimized within a short term and low experimental cost.

• Journal of Korean Library and Information Science Society
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• v.41 no.3
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• pp.185-203
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• 2010

This study discusses the meanings of nationality in information behaviour. In this study nationality was represented by citizenship and group personality(here, dependency) Surveys were conducted for data collection, and a questionnaire were completed by 331 participants(158 Korean students and 183 Japanese students). Simple frequency tests and chi-square tests were conducted to examine the proposed relation between citizenship and information behavior, that between dependency and information behavior. Also conducted was two-way ANOVA test to examine the relative significance of two independent variables(citizenship and dependency) in information behavior. The results of chi-square tests showed that both variables have statistically significant relationship with information behavior although the relationship was partially significant. And the results of ANOVA test showed that between the two variables, citizenship was more significant than dependency.

• The Korean Journal of Applied Statistics
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• v.29 no.2
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• pp.381-388
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• 2016

It is common to quantify the concept of interest in the social and human sciences to test a research hypothesis. In such a case, it is strongly recommended to investigate if the procedure is appropriately designed and implemented according the research purpose since the quantification procedure highly affects the result of statistical analysis. In this work, we propose a visualization tool which enables us to check the construct validity of a measurement tool (such a questionnaire) in a concise and convenient way based on a penalized factor analysis model. We illustrate our method with numerical simulation and real data analysis.

• Asia Marketing Journal
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• v.4 no.4
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• pp.75-96
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• 2002

본 연구는 같은 동양문화권에 속하면서도 사회·문화적 배경이 다른 한국과 일본 대학생들을 대상으로 라이프스타일 특성과 여가시간 활용을 비교 분석하므로써 양국대학생들의 소 비문화를 추론하는데 초점을 두고 있다. 새로운 세대로 지칭되는 대학생들은 이미 새로운 수요를 창출하는 세분시장으로서 마케터들의 관심을 모으고 있지만, 국가간 시장을 세분화하고 그에 따른 적절한 마케팅 전략을 구사하는 것이 과연 효과적인가를 탐색해 보는 것이 본 연구의 목표이다. 라이프스타일은 AIO 분석에 근거하여 의생활분야, 구매 및 쇼핑분야, 가치관분야, 정보추구분야, 인터넷 광고분야 등의 다섯 가지 영역으로 구분하고 양국 대학생들을 대상으로 자료를 수집하였다. 각 영역별로 요인분석을 실시하여 모두 23개의 요인이 도출되었고, 양국 대학생 집단은 모두 18개 부문에서 차이를 보였으며 5개 부문에서는 유의적인 차이가 나타나지 않았다. 그러나 여가 및 시간활용에서는 양국 대학생 집단간에 차이를 보이는 항목이 많았으며, 인구 통계적 요인이 국적과 상호작용을 통해 여가활동에 서로 다르게 영향을 미치고 있는 것으로 나타났다. 이러한 연구결과는 사회·문화적 환경이 다른 소비자 집단의 특성을 이해하고 여가활동 유형과 여가시간 활용에 따라 차별화를 가능하게 함으로써 국제적인 마케팅전략수립을 위해 효과적인 시장세분화 기준을 제공하고 소비패턴 분석을 위한 기초 자료로 활용될 수 있을 것이다.

• Korean Journal of Environment and Ecology
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• v.23 no.5
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• pp.460-470
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• 2009

The purpose of this research is to suggest appropriate directions for the desirable ecotourist attraction management through the investigation of the tourist's satisfaction with ecotourism in case of Geumgang birdwatching destination. This research focus on the identification of the determinants of the ecotourist's satisfaction and the estimated regression model. The results of this study for the tourist's satisfaction with the ecotourism are summarized as follows. First, as a result of the factor analysis of the tourist's satisfaction variables, five factors like 'knowledge information', 'experience', 'ecological value', 'guide service', 'facilities environment' are deduced. Second, as a result of the test of significance, the difference of the satisfaction with ecotourism in aspect of the tourist's demographic characteristics like age and academic background is confirmed to be statistically significant except sex. Third, the tourist's satisfaction with ecotourism appears to be positively correlative with the tourist's overall satisfaction.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1462-1466
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• 2009

우리나라 가뭄의 지역적 특성은 수문학적으로 동질한 지역의 구분 결과에 따라 달라진다. 지역의 구분에는 가뭄에 영향을 미치는 다양한 변수들이 사용될 수 있다. 가뭄을 특징짓는 요소로서 지속기간, 심도, 이외의 통계적 특성들이 있으며, 이 변수들을 정보화하여 변수의 유형을 구분지어 모든 변수들을 요약된 정보로 활용하여 가뭄의 특성을 구분할 수 있다. 본 연구에서는 우리나라 기상청 강우자료 75개 관측지점 중 30년 미만의 강우기록이 있는 17개의 지점을 제외한 58개 강우 관측 지점을 대상으로 가뭄지수(SPI)를 산정하여 가뭄사상의 특성을 정량화 과정으로 남한지역 가뭄특성을 분류하였다. SPSS를 활용한 다변량 분석기법인 주성분 분석(principal component analysis)을 통해 가뭄특성인자의 상관관계가 높은 변수들을 조합하여 그 변수들 중 가뭄정보를 가능한 많이 함축하고 있는 새로운 특성 변수를 만들어 내었으며, 선정된 변수들을 바탕으로 요인분석(factor analysis)의 직각회전 방식(Varimax)을 이용하여 변수들의 표준화를 통해 가뭄특성요인을 찾아내었다. 이를 통해 지역간 동질성을 파악하여 K-means기법을 적용하여 군집해석(clustering analysis)을 실시하였다.