• Journal of the Korean Society for Railway
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• v.12 no.5
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• pp.656-662
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• 2009

In general, the analysis of travelers' mode choice behavior is accomplished by developing the utility functions which reflect individual's preference of mode choice according to their demographic and travel characteristics. In this paper, we propose a methodology that takes the spatial effects of individuals' departure locations into account in the mode choice model. The statistical models considered here are spatial logistic regression model and conditional autoregressive model taking a spatial association parameter into account. We employed the Bayesian approach in order to obtain more reliable parameter estimates. The proposed methodology allows us to estimate mode shares by departure places even though the survey does not cover all areas.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.953-955
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• 2016

본 논문은 다중 회귀 분석을 이용하여 3축 가속도센서기반의 활동량을 추정하는 방법을 제안한다. 본 연구를 위해 총 59명의 피 실험자가 자체 제작한 활동량계를 착용한 뒤 트레드밀에서 일정한 속도로 걷는/뛰는 동작을 수행한 신호를 수집하였다. 수집한 3축 가속도 신호의 에너지 값에서 사전에 정의한 특징들을 산출한다. 그 다음 각 특징별로 선형, 지수, 로지스틱 회귀 분석을 적용하여 적합도가 높은 특징을 선정한다. 마지막으로 산출된 회귀식들을 사용하여 다중 회귀 분석 방법으로 활동량을 추정한다. 호흡가스 대사 분석기(K4B2)를 착용한 뒤 동일한 방법으로 실험을 수행 하고 제안한 방법과 정확도를 비교한 결과 제안한 방법의 정확도는 86.38 %로 산출되었다. 이는 기존의 Kim 외 3인의 연구결과[1]보다 2.70 %, Actical의 정확도보다 4.31 % 높은 수치이다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.43-48
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• 2006

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.537-537
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• 2007

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.322-324
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• 2007

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.658-660
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• 2007

• International Area Studies Review
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• v.14 no.3
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• pp.267-289
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• 2010

The purpose of this paper is to compare the different characteristics of Korean and Japanese Overseas Direct Investment(ODI) in Asia. An empirical test consists of two parts, the determinants of ODI and the micro characteristics of subsidiaries in Asia between Korea and Japan. Multiple regression and logistic regression model are used in empirical tests as methodology. The coefficient of GDP is significant and positive sign to sole venture in both countries. The coefficient of CPA in Korea is significant and positive sign to joint venture but insignificant in Japan. The coefficient of WAGE in Korea is significant and positive sign to joint venture but is significant and negative sign to joint venture in Japan. The coefficient of LBIT is significant and positive sign to joint venture in Japan. The coefficient of HOME is significant and positive sign to sole venture in both countries.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.993-1003
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• 2012

The purpose of this study was to estimate the determinants of victory and defeat through analyzing records of Korean men pro-basketball. Statistical models of victory and defeat were established by collecting present basketball records (2010-2011, 2011-2012 season). Korea Basketball League (KBL) informs records of every pro-basketball game data. The six offence variables (2P%, 3P%, FT%, OR, AS, TO), and the four defense variables (DR, ST, GD, BS) were used in this study. PASW program was used for logistic regression and Answer Tree program was used for the decision tree. All significance levels were set at .05. Major results were as follows. In the logistic regression, 2P%, 3P%, and TO were three offense variables significantly affecting victory and defeat, and DR, ST, and BS were three significant defense variables. Offensive variables 2P%, 3P%, TO, and AS are used in constructing the decision tree. The highest percentage of victory was 80.85% when 2P% was in 51%-58%, 3P% was more than 31 percent, and TO was less than 11 times. In the decision tree of the defence variables, the highest percentage of victory was 94.12% when DR was more than 24, ST was more than six, and BS was more than two times.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.743-753
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• 2014

Kim et al. (2006) and Kim et al. (2009) reported a set of explanatory variables affecting donation frequency when they analyzed nationwide survey data on donations collected in 2002 by Volunteer 21, a nonprofit organization in Korea. The primary purpose of this paper is to correct computational errors found in Kim et al. (2006) and Kim et al. (2009), to rectify major results in the Tables and Figures and to supplement Kim et al. (2009) by providing new results. We add two logistic regressions to the ZIP and a mixture of two Poisson regressions of Kim et al. (2009). Through these two logistic regressions we could detect a set of explanatory variables affecting donation activity (0 or 1) and another set of explanatory variables, in which the volunteer (0, 1) variable is common, discriminating the infrequent donor group from the frequent donor group.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.27-33
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• 2016

I would like to analyze the customers accommodation availability of the provisional 'smart board,' having specific mode and style, as a circulation platform of digital contents with using a statistic model in order to find a way and means to activate legal circulation of convergence individual products. The smart board means a circulation platform for both users' convenience and copyright protection, by being conveniently able to upload personal convergence digital contents or apply various licence to the uploaded contents according to the purpose of use. Under these premises of the smart board, this paper is going to focus on verifying to find out which factors, such as users' profile attributes, contents using behaviors, awareness of licence and etc, influence on the intention of using the smart board of general users by using a logistic regression model.