• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.663-665
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• 2003

A field spectroradiometer SE-590 was used to measure the spectral reflectance of water body. The reflectance was calculated as the ratio of surface water radiance to the standard whiteboard radiance nearly measured at the same time. Water samples were taken simultaneously for determining their chlorophyll-a, suspended solid (SS) and transparency. The relationships between those water quality parameters and spectral reflectance were analy zed using stepwise multiple regression to derive optimal prediction models . The multiple regression was also applied to the SE-590 simulated SPOT bands. The SPOT image of the same day was also analyzed using the same method to compare the statistical results. It showed that the multiple regression models using the SE-590 reflectance data got the best water quality prediction results. The evaluated RMS error of chlorophyll-a, SS and transparency of water quality parameters were 0.57 ug/l, 0.2 mg/l and 0.17 m, respectively, and the RMS errors were 0.36 ug/l, 0.49 mg/l and 0.42 m for SPOT data, respectively. The SE-590 simulated SPOT three bands data obtained the worst results and the RMS errors were 1.77 ug/l, 0.49 mg/l and 0.37 m, respectively.

• Korean Journal of Adult Nursing
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• v.25 no.5
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• pp.549-558
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• 2013

Purpose: The purpose of this study was to identify impact of stress on depression among university students and the moderating effect of social support in the relationship between stress and depression in university students. Methods: A total of 445 subjects were participated from May to July 2011. Data were collected by self-reported questionnaires and t-test, ANOVA, and stepwise multiple regression with SPSS/WIN 20.0 were used to analyze the data. Results: The results indicate that depression was increased by stress and decreased with social support. Social support included four type of social support behavior; emotional support, informational support, material support, and appraisal support. Multiple regression analysis showed that moderating effect of emotional support was significant when provided by friends but not by parents. Conclusion: These finding indicate the importance of emotional support of friends on depression in university students.

• Bulletin of the Korean Chemical Society
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• v.32 no.11
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• pp.3865-3872
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• 2011

A quantitative structure-property relationship (QSPR) study was performed for the prediction of the absorption maxima of azobenzene dyes. The entire set of 191 azobenzenes was divided into a training set of 150 azobenzenes and a test set of 41 azobenzenes according to Kennard and Stones algorithm. A seven-descriptor model, with squared correlation coefficient ($R^2$) of 0.8755 and standard error of estimation (s) of 14.476, was developed by applying stepwise multiple linear regression (MLR) analysis on the training set. The reliability of the proposed model was further illustrated using various evaluation techniques: leave-many-out crossvalidation procedure, randomization tests, and validation through the test set.

• Journal of Nutrition and Health
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• v.27 no.4
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• pp.368-377
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• 1994

The purpose of this study was to investigate determining factors which influence the riboflavin and pyridoxin nutritional status of korean newborns. The riboflavin and pyridoxine nutriture were evaluated by measuring the enzymecoenzyme saturation kinetics of erythrocyte glutathione reductase and alanine aminotransferase. The subjects were 259 newborns and their mothers. The average activity coefficent values of the cord blood EALAT was 1.4$\pm$0.11 and 32% of the samples had EALATAC values greater than 1.25. EGRAC was 1.26$\pm$0.12 and 27.4 of the blood samples had EALATAC values greater than 1.25. Vitamine B6 nutrition of the newborns whose mothers consumed more energy, protein and vitamine B6 was better as cord blood EALATAC values were found to the lower in this group. A stepwise multiple regression analysis showed that birth length and mother's age significantly influenced EGRAC values, positive and negative ways, respectively.

• Korean Journal of Adult Nursing
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• v.23 no.4
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• pp.397-402
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• 2011

Purpose: This study was designed to explore the relationship of depression with stress, anxiety and mindfulness in nursing students in 2010. Methods: A cross-sectional design was used and data was collected through structured questionnaires. Depression, stress, anxiety, and mindfulness were measured by using the Depression, Anxiety and Stress Scale (DASS) and the Mindfulness Attention Awareness Scale (MAAS). The data were analyzed using t-test, one-way ANOVA, Pearson correlation coefficient, and stepwise multiple regression. Results: A total of 131 nursing students participated in this study. Depression was positively associated with stress (r=.81, p<.001) and anxiety (r=.76, p<.001), and negatively associated with mindfulness (r=-.73, p<.001). Multiple regression analyses showed that in different type of residence, anxiety and mindfulness were statistically significant predictors of depression with explanatory power of 67%. Conclusion: When nurse instructors manage depression among nursing students, the strategies need to address stress, anxiety, and mindfulness. This study may help nursing students to better manage their depression.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.1
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• pp.29-38
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• 2014

Purpose: This study was done to examine factors affecting cancer preventive behavior in middle-aged people. Method: The research design for this study was a descriptive survey design using convenience sampling. Data collection was done using self-questionnaire with 203 middle-aged people in Seoul and G city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression with the SPSS Win 20.0 Program. Results: The mean score of cancer preventive behavior was $3.43{\pm}.14$ out of 5. Cancer preventive behavior showed a significantly positive correlation with knowledge about cancer (r=.24, p<.001). In the multiple regression analysis, gender, perceived health status and knowledge about cancer were significant predictors and explained 14.5% of cancer preventive behaviors. Conclusion: Findings of this study allow a comprehensive understanding of cancer preventive behavior and related factors by middle-aged people. However, further study with a larger random sample from various living environment is necessary.

• Child Health Nursing Research
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• v.16 no.4
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• pp.297-303
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• 2010

Purpose: The purpose of this study was to identify the relationship of self-differentiation, family function and mental health among adolescents. Methods: The data were collected from 967 adolescents and analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficient and Stepwise multiple regression with the SPSS program. Results: Mental health differed according to grades, sibling position, father's education and mother's education. Self-differentiation and family function had a significant negative correlation with mental health. Multiple regression analysis showed recognition.emotional function, emotional cutoff and family projection as influencing self-differentiation. Grades, affective responsiveness in family function, and sibling position explained 20.8% of the total variance in mental health. Conclusion: The findings show that self-differentiation and family function influence mental health, indicating a need to develop nursing intervention programs to enhance adolescents' mental health and prevent negative outcomes. For these programs, the family must be included.

• Korean Journal of Child Studies
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• v.11 no.2
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• pp.98-113
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• 1990

The purpose of this study was to examine how children perceive their mothers' employment. The subjects were 471 elementary school children(4th. 5th. and 6th graders) of working mothers. The instrument used in the present study was a questionnaire consisting of sociodemographic variables and 5 indices. The data were analyzed with multiple regression and stepwise multiple regression. It was found that the child's knowledge about mothers employment, the child's perception of how he/she is affected by having a working mother, the child s perception of mothers feelings about her employment. and the child's perception of mother's interest in him/her predicted the child's attitude toward his/her mother's employment.

• Child Health Nursing Research
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• v.22 no.4
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• pp.363-369
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• 2016

Purpose: Fatigue in mothers of hospitalized children is an important component for her child's health. This study was done to identify factors influencing fatigue in mothers of hospitalized children. Methods: A descriptive correlation study design was used. Participants were 157 mothers of hospitalized children in a university hospital located in one city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression. Results: Mean score for fatigue in mothers of hospitalized children was $2.11{\pm}0.53$. There were significant differences in scores for fatigue in these mothers according to education, sleep satisfaction, and family support. Multiple regression analysis showed that the important factors related to fatigue in mothers of hospitalized children were parenting stress (${\beta}=.44$), hours of sleep (${\beta}=-.25$), and age (${\beta}=-.21$). These factors explained 38% of the total variance. Conclusion: Research results suggest that nursing interventions for mothers of hospitalized children are needed in order to improve the comfort and health of the mothers and facilitate the recovery of their child.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.291-304
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• 2002

This article is concerned with an effective algorithm for the identification of multiple outliers in linear regression. It proposes a hybrid algorithm which employs the least median of squares estimator, instead of the least squares estimator, to construct an Initial clean subset in the stepwise forward search scheme. The performance of the proposed algorithm is evaluated and compared with the existing competitor via an extensive Monte Carlo simulation. The algorithm appears to be superior to the competitor for the most of scenarios explored in the simulation study. Particularly it copes with the masking problem quite well. In addition, the orthogonal decomposition and Its updating techniques are considered to improve the computational efficiency and numerical stability of the algorithm.