• Journal of Korean Institute of Industrial Engineers
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• v.42 no.5
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• pp.314-326
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• 2016

The purpose of variable selection techniques is to select a subset of relevant variables for a particular learning algorithm in order to improve the accuracy of prediction model and improve the efficiency of the model. We conduct an empirical analysis to evaluate and compare seven well-known variable selection techniques for multiple linear regression model, which is one of the most commonly used regression model in practice. The variable selection techniques we apply are forward selection, backward elimination, stepwise selection, genetic algorithm (GA), ridge regression, lasso (Least Absolute Shrinkage and Selection Operator) and elastic net. Based on the experiment with 49 regression data sets, it is found that GA resulted in the lowest error rates while lasso most significantly reduces the number of variables. In terms of computational efficiency, forward/backward elimination and lasso requires less time than the other techniques.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.901-908
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• 2010

A geometrical description method is proposed to represent the process of the forward selection and backward elimination methods among many variable selection methods for multiple regression models. This graphical method shows the process of the forward selection and backward elimination on the first and second quadrants, respectively, of half circle with a unit radius. At each step, the SSR is represented by the norm of vector and the extra SSR or partial determinant coefficient is represented by the angle between two vectors. Some lines are dotted when the partial F test results are statistically significant, so that statistical analysis could be explored. This geometrical description can be obtained the final regression models based on the forward selection and backward elimination methods. And the goodness-of-fit for the model could be explored.

• Environmental Analysis Health and Toxicology
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• v.14 no.3
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• pp.103-111
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• 1999

To effectively predict the lipophilicity, the aryl hydrocarbon receptor (AhR) affinity, and TEF (Toxic equivalency factor) of dioxins by geometrical descriptors, the multiple linear regression methods with the forward selection and backward elimination were employed with statistical validity. The lipophilicity, the Ah receptor binding affinity, and the toxic equivalency factor of dioxins could be predicted using some geometrical descriptors.

• Korean Journal of Occupational Health Nursing
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• v.22 no.1
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• pp.1-12
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• 2013

Purpose: This study aims to test the validity and criteria-related reliability of the Korean version of the Copenhagen Psyco-social Questionnaire version II (COPSOQ-K) assessing the psychosocial working environment. Methods: The COPSOQ-K was developed through forward-backward translation techniques, and revision based on feedback from focus groups. Survey data were collected from 311 office workers who worked in one workplace. An internal consistency reliability was estimated by Cronbach's ${\alpha}$. The impacts of the COPSOQ-K scales on job satisfaction, self-rated health, stress, sleeping troubles, burnout, and sickness absence were analyzed with multiple regression model or multiple logistic regression model, adjusted age and gender using SAS version 9.3. The Pearson correlation coefficients between the COPSOQ-K scales and Korean job stress and its subdomain were identified. Results: Cronbach's ${\alpha}$ of COPSOQ-K scales was adequate or good (0.66~0.87). The major COPSOQ-K scales predict job satisfaction, self-rated health, stress, sleeping troubles burnout, and sickness absence. The major COPSOQ-K scales were correlated with Korean job stress and its subdomain. Conclusion: The COPSOQ-K scales have satisfactory reliability and criteria-related validity. The COPSOQ-K scales will be useful for the future studies and practices associated with psychosocial working environment.

• The Korean Journal of Rehabilitation Nursing
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• v.19 no.2
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• pp.71-81
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• 2016

Purpose: The purpose of this study was to explore the influence of cognitive function and depressive symptoms on instrumental activities of daily living (IADL) in addition to identify the factors associated with IADL in community-dwelling older adults. Methods: This was a descriptive study with cross-sectional design. Data were collected from July 2013 to June 2014. A total of 143 participants without dementia, depression and disability were enrolled in this study. Cognitive function was measured using Seoul verbal learning test (SVLT), digital span (forward/backward) and fist-edge-palm test. The Korean-IADL and Short Geriatric Depression Scale (S-GDS) were used. Data analysis was performed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression. Results: Overall, a multiple regression model revealed that approximately 27.4% of total variability in IADL in the sample of community-dwelling older adults could be explained by the significant 12 variables in this model ($R^2=0.274$, F=5.467, p<.001). Age, having religion and cognitive function were the predictors of IADL in community-dwelling older adults. Conclusion: This study suggest that we need to monitor cognitive function in older to maintain the ability for IADL in older adults. Also, individualized program for improving older adults' IADL should be included in nursing intervention.

• The Journal of Korean Physical Therapy
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• v.25 no.5
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• pp.330-336
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• 2013

Purpose: Respiratory is an essential vital component for conservation of life in human, which is controlled by respiratory muscles and its related neuromuscular regulation. The purpose of this study is to assess lung capacity and respiratory pressure in healthy children, and to investigate relationship and predictability between respiratory pressure and other related respiratory functions. Methods: A total of 31 healthy children were recruited for this study. Demographic information and respiratory related factors were assessed in terms of body surface area (BSA), chest mobility, lung capacity, and respiratory pressure. Correlation between respiratory pressure and the rested variables was analyzed, and multiple regression using the stepwise method was performed for prediction of respiratory muscle strength, in terms of respiratory pressure as the dependent variable, and demographic and other respiratory variables as the independent variable. Results: According to the results of correlation analysis, respiratory pressure showed significant correlation with age (r=0.62, p<0.01), BSA (r=0.80, p<0.01), FVC (r=0.80, p<0.01), and FEV1 (r=0.70, p<0.01). In results of multiple regression analysis using the backward elimination method, BSA and FVC were included as significant factors of the predictable statistical model. The statistical model showed a significant explanation power of 71.8%. Conclusion: These findings suggest that respiratory pressure could be a valuable measurement tool for evaluation of respiratory function, because of significant relationship with physical characteristics and lung capacity, and that BSA and FVC could be possible predictable factors to explain the degree of respiratory pressure. These findings will provide useful information for clinical assessment and treatment in healthy children as well as those with pulmonary disease.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.30
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• pp.145-174
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• 2006

An anti-dumping has become the trade policy of choice for developing countries as well as advanced countries, hence it is the impending issue to the export-oriented countries including Korea. After colligating the analysis on the trade and industrial policy between Korea and China as well as the analysis on the preceding research, the main reasons of anti-dumping were selected as followings; an unemployment rate, real GDP growth rate and consumer price increase as internal factors, and trade balance, regional coefficient and trade specification index as external factors. Then, the research on how the above seven variable factors can affect the number of anti-dumping measures was accomplished. For the empirical analysis, the above information was used after reorganizing them by on the quarterly basis. Through the use of the correlation analysis, backward elimination of multiple regression analysis model and time-series analysis, it has appeared that the unemployment rate appeared to be the most important factors of anti-dumping measures in addition to the increase rate of trade balance. The variable such as the unemployment rate is uncontrollable for us, so it is appropriate to establish and operate an preemptive monitoring system based on the increasing rate of the amount of export and increasing rate of trade surplus.

• Journal of Gifted/Talented Education
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• v.23 no.3
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• pp.479-499
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• 2013

The purpose of this study is to examine the effects of Mother's Child-Rearing Attitudes on young children intelligence, multiple intelligences and emotional intelligence. In order to achieve the purpose of the study, 215 children and their mothers and teachers of children 15 were investigated. Data analysis, correlation analysis and regression analysis were conducted to analyze the mother's Child-Rearing Attitudes and the relationship between the young children's intelligence and multiple intelligences and emotional intelligence. The results of this study and the conclusions obtained through the discussion are as follows: First, the relationship between the mother's child-rearing attitudes and intelligence, multiple intelligences, on the other hand, showed a high correlation relationship between the mother's child-rearing attitudes and emotional intelligence and appeared to be correlated with low. Second, the rejective attitude and autonomous attitude variables that best explain the entire intelligence and multiple intelligence of young children, the affectionate attitude and autonomous attitude, the young children's the entire emotional intelligence best explain the factors. These results in the development of intelligence, multiple intelligence, emotional intelligence, affectionate attitude depending on the situation, autonomous attitude shows rejective attitude avoiding uniform, certain attitudes, rather than to show the mother's Child-Rearing Attitudes desirable that suggests.

• Journal of the Korean Geographical Society
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• v.50 no.5
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• pp.543-556
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• 2015

This study made an attempt at the empirical analysis of the influence of domestic, foreign economic changes on economy in Incheon & Incheon International Airport. For this purpose, this study, setting up the member countries of the Organization for Economic Cooperation and Development(OECD), Incheon Metropolitan City, and Incheon International Airport as research objects, conducted multi-regression analysis and path analysis of 11-year economic changes after the opening of the Incheon International Airport in 2001. As a research result, it was found that internal, external economic changes didn't show a positive influence on economy in Incheon, and growth & revitalization of the Incheon International Airport while international economic factors showed a directly positive influence on economy in Incheon, but the total effect directly related to Korean economy showed a negative influence. Accordingly, economy in Incheon has to actively cope with home, foreign macroeconomic change factors, and further, the endogenous growth strategy is required; as the methodolog.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.205-205
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• 2019

우리나라에서 강우의 시간분포를 위해 보편적으로 사용되고 있는 방법은 Huff 4분위법으로 강우의 시간적 분포특성을 나타내는 무차원 시간분포곡선을 제시한 것으로, 강우의 지속기간을 4분위로 구분하여 각 분위의 강우량 중 가장 큰 값이 속해 있는 구간을 선택하여 그 구간의 위치에 따라 분위를 정하는 방법이다. 현재 실무에서는 Huff의 분위별 곡선에 대한 회귀식은 지속기간 전반에 걸쳐 정확도가 높은 이유로 6차식을 적용하고 있으나, 통계 모델링에서 간결함의 원리에 따라 회귀식이 간결할 필요가 있으며, 통계적 유의수준에 기초하여 회귀계수를 결정하여야 하므로 유의성 검정 방법을 통한 검정결과를 비교할 필요가 있다. 따라서 본 연구에서는 다중회귀분석 방법에 따른 회귀계수 유의성 검정결과 비교를 위하여 구미지역의 무차원 누가우량 백분율을 이용한 시간분포 회귀식을 이용하여 유의성 검정 방법인 분산분석 방법(Analysis of Variance)과 변수선택 방법(Backward Selection)의 검정 결과를 도출 및 비교하였다. 통계프로그램인 프로그래밍 R을 이용하여 변수선택 방법 중 후방제거법 함수를 이용하여 최종 회귀식을 도출하고 또한 7차 회귀식을 분산분석을 이용한 후방제거법으로 회귀계수를 제거하는 방법으로 최종 회귀식을 산정하였다. 분산분석을 이용한 후방제거법의 유의성 검정결과는 프로그래밍 R을 이용한 후방제거법의 결과와 동일한 것으로 분석되었다. 일반적으로 설계강우량의 시간분포를 위한 방법으로 사용되고 있는 Huff의 4분위 방법의 시간분포 회귀식은 회귀계수의 유의성 검정이 이루어지고 있지 않으므로 본 연구결과를 통해 설계강우량 시간분포 회귀식의 유의성 검정방법 제시 및 결과도출과정을 통해 시간분포 회귀식 산정기법으로 활용할 수 있을 것으로 사료된다.