• Proceedings of the Korea Database Society Conference
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• 1998.09a
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• pp.584-594
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• 1998

선형회귀분석은 가장 널리 사용되는 데이터 분석기법이지만 독립변수와 종속변수간의 관계가 선형이라고 가정하기 때문에 문제점을 가지고 있다. 비모수 회귀분석(Nonparametric Regression)은 선형회귀분석의 문제점을 극복할 수 있는 방법으로 변수간의 관계의 형태를 미리 가정하지 않고 데이터에 의해 결정하는 방법이다. 본 연구에서는 유전자 알고리즘을 비모수 회귀분석법 중의 하나인 Regressoin Splines에 적용하였다. 인위적 데이터를 이용한 평가 결과 유전자 알고리즘은 다양한 상황에서 매우 우수한 것으로 나타났다.

• Management & Information Systems Review
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• v.36 no.3
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• pp.71-87
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• 2017

This study was conducted to examine differences in the relationship between experiential variables and outcome variables of experiential variables. In this regard, this research tries to construct the items based on past researches and to suggest the problems of the items of past researches. The analysis of various aspects of experiential variables and the validation tests of some models are presented to suggest what the optimal model is and the following suggestions can be made. First, respondents may not feel that the three dimensions of sensation, emotion, and cognition are significantly different. Depending on the respondents, there is a possibility that they may not be able to perceive much of the linguistic difference. The results of this study are summarized as follows. From this point of view, this study suggest that it would be suitable to proceed with the thesis with the experience of simplifying the combination of the five experiences in some combination. Second, there is a correlation between experiential variables, and the effect on outcome variables may vary from one variable to another. And, when there are two outcome variables, assuming a model that affects only the first outcome variable among the experience variables, it is the most suitable model in relation to the performance variable of experience.

• Journal of Science and Technology Studies
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• v.6 no.1 s.11
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• pp.53-88
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• 2006

This study has the purpose to make a conceptual model which can explain the relationship between the research performance, and the fitness of environmental property and the technology development strategy. The environmental property consists of the competitiveness, the complexity of environment, and the market growth. The technology development strategy consists of the innovativeness of technology, the upgrade of product, and the usage of the out resource. And the ability to manage knowledge resource is a very important variable which can modulate the fitness of environmental property and the technology development strategy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.169-177
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• 2019

From the past to the present, justice has attracted many people's attention. Most of the previous studies carried out in relation to justice are studies of the resulting variables, and there is a great advantage that they let us know about the importance of justice. However, the findings are focused only on the behavior of the members of the organization according to the status of justice already perceived. Therefore, studies on the antecedent of justice are also necessary to understand justice accurately. This study identifies the factors that can directly affect justice and the contextual factors that could moderate their relationship. In particular, using the '2017 Public Employee Perception Survey' released by the Korea Institute of Public Administration, we examined how innovative behavior of public employees affects the perception of distributive justice and how the relative professionalism, which is the situation variable, moderates the relationship between variables. A regression analysis of 321 public employees showed that innovative behavior affects the perception of distributive justice, and that the positive relationship of innovation behavior to the perception of distributive justice is weakened when the level of individual perceived relative professionalism is high.

• Asia Marketing Journal
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• v.2 no.2
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• pp.86-113
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• 2000

본 연구는 환경지향제품구매와 재활용행동을 설명하기 위한 것으로 Schwartz 가 제기한 규범이론에 관한 이론고찰과 실증분석을 병행하고 있다. 규범이론의 핵심은 사회규범을 개인의 행동으로 전환시키는 과정을 설명하는 것이다. 규범이론에 따르면 환경지향제품구매와 재활용과 같은 이타적 행동은 사람들이 일종의 추상적이고 객관적인 방식으로 동의하는 도덕적 행동에 관한 사회규범으로 시작된다. 그러나 사회규범은 행동을 지배하기에는 너무 일반적이고 소원하다. 따라서 이러한 사회규범은 개인적 차원에서 우리들 각 개인에게 적응되어 개인규범이 된다. 사회규범은 사회적 구조의 차원에서 존재하는 반면 개인규범은 강력하게 내면화 된 도덕적 태도가 된다. 개인이 규범을 내면화 했지만 이에 따라 행동하지 않을 수도 있는 데 상황에 적절하도록 개인규범이 정의되어야 한다. 규범이론은 주어진 상황에 적절하도록 사회규범을 개인규범으로 정의하도록 유도하기 위해서는 바로 행동결과지각과 책임귀인지각이 개입되어야 한다고 제기하고 있다. 본 연구는 이상의 규범이론에 근거하여 소비자의 환경지향제품구매행동과 재활용행동을 설명하고자 다음 세 가지 연구목적을 설정하였다. 첫째, 사회규범이 개인규범의 형성에 어떠한 영향을 미치는가? 둘째, 사회규범이 내면화 된 개인규범은 환경지향제품구매행동과 재활용행동에 직접적인 영향을 미치는가? 셋째, 규범이론은 조절변수가 개입되는 경우 개인규범이 행동으로 전환되는 것이 더욱 용이해진다고 제기한 바, 조절변수의 하나인 환경지향행동결과의 중요성지각의 영향을 검증하고자 한다. 연구결과, 환경문제가 개입된 상황에서 사회규범은 개인규범의 형성에 강한 영향을 미치며 개인규범은 다시 환경지향제품구매와 재활용행동에 영향을 미치는 것으로 나타났다. 그리고 환경지향행동결과의 중요성지각 역시 개인규범이 환경지향제품구매행동으로 전환되는 과정에서 조절적 역할을 함으로서 양변수간 관계를 더욱 강화하는 변수임을 연구결과는 제시하고 있다. 그러나 개인규범-재활용행동사이에서의 조절적 역할은 없는 것으로 나타났다.

• Proceedings of the Safety Management and Science Conference
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• 2011.11a
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• pp.415-418
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• 2011

• 정보화사회
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• s.183
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• pp.8-9
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• 2006

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.57-71
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• 2009

Due to increasing interest in dispersion of traffic flows through providing traffic information, there has been much research of driver behavior and effectiveness of diversion. In this paper the authors intend to analyze how a diversion was determined and its effects through correlation analysis between diversion rates estimated by actual surveys and the traffic conditions. Through speed-flow analysis, the diversion mechanism was found. When travel speed decreased, detour volume increased. Then when the traffic volume was decreased through an increase of diversion and traffic conditions got better, the detour volume decreased again. In addition, the authors found negative correlation between the diversion rate and travel speed through correlation analysis. It shows that there were various relationships between diversion rates and traffic conditions according to congestion level and direction of traffic. Finally, it is suggested that the regression equation for calculating the diversion rate with the traffic flows, travel speed, and travel time as variables has a coefficient of determination of 38.5%. It means that traffic conditions on expressways take about 40% of driver's decision-making for diversion.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2953-2966
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• 2018

Housing prices are closely related to various variables that indicate macroeconomic conditions. In this paper, empirical analysis based on data is performed referring to previous studies. Focusing on the policy interest rate among the factors affecting the housing price, the non-linear impulse responses of other variables to the interest rate shock are analyzed. Using the random forest algorithm, the variable importance scores of the macroeconomic variables presented in the previous studies are calculated. After selecting the variables through this process, the impulse responses are calculated using a model that can capture non-linearity. According to the model, the responses of housing prices to the policy rate is only significant when the rate is raised. Especially, the impulse response is amplified when the shock increases due to the non-linear characteristics that can not be captured by the traditional VAR methodology. The analysis results suggest that the interest rate as a policy instrument should be approached from a more cautious perspective.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.285-298
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• 2022

Continuous shrinkage priors, as well as spike and slab priors, have been widely employed for Bayesian inference about sparse regression coefficient vectors or covariance matrices. Continuous shrinkage priors provide computational advantages over spike and slab priors since their model space is substantially smaller. This is especially true in high-dimensional settings. However, variable selection based on continuous shrinkage priors is not straightforward because they do not give exactly zero values. Although few variable selection approaches based on continuous shrinkage priors have been proposed, no substantial comparative investigations of their performance have been conducted. In this paper, We compare two variable selection methods: a credible interval method and the sequential 2-means algorithm (Li and Pati, 2017). Various simulation scenarios are used to demonstrate the practical performances of the methods. We conclude the paper by presenting some observations and conjectures based on the simulation findings.