• Journal of Korea Water Resources Association
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• v.43 no.11
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• pp.933-944
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• 2010

This study compares the CEM and SGS methods which are geostatistical stochastic simulation methods for assessing the uncertainty by spatial variability in the estimation of the spatial distribution of probability rainfall. In the stochastic simulations using CEM and SGS, two methods show almost similar results for the reproduction of spatial correlation structure, the statistics (standard deviation, coefficient of variation, interquartile range, and range) of realizations as uncertainty measures, and the uncertainty distribution of basin mean rainfall. However, the CEM is superior to SGS in aspect of simulation efficiency.

• Therapeutic Science for Rehabilitation
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• v.7 no.4
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• pp.19-30
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• 2018

Objective: The purpose of this study was to suggest predictors of participation restriction in community-dwelling Spinal Cord Injury (SCI) based on environmental, functional, injury-related, psychosocial, and sociodemographic factors. Methods: The participants were 82 community-dwelling SCI adults over the age of 18. They were all included in the American Spinal Injury Association's (ASIA) Levels A, B, and C. This study surveyed participants' participation using the CHART-K-SF, environmental factors using the CHIEF-25 Korean version, and functional factors using the SCIM III. Further, pain and distress were surveyed using Zung's Self-rating Pain and the PAD, self-esteem was assessed using the RSES, and self-efficacy using the GSS. Finally, information concerning injury levels, post-injury period, causes of injury-related factors, and sociodemographic factors such as gender, age, marriage, education level, and residence information were collected. The collected data were analyzed using SPSS Version 21.0 Results: Participants' risk factors were environmental and functional. The Nagelkerke's $R^2$ was.737. The OddsRatio(OR) of environmental factors(referent,0-1) was 40.346. Moreover, the OR of the $1^{st}$ quartile functional factor(referent,4thquartile) was 236. 621, and that of the$2^{nd}$ quartile was 21.174. In addition, the occupational predictors included the "policies" subscales in the CHART-K-SF, "physical/structural" in the CHIEF-25, and "mobility" in the SCIM III. Further, the predictors of "physical independence" were "services/assistance" in CHIEF-25, and "respiration and sphincter management' on the SCIM III. Additionally, "mobility" was predicted by "physical/structural" on the CHIEF-25 and "mobility" on the SCIM III. Conclusions: This study multidimensionally confirmed predictors of participation restriction. Through these facts, we investigated occupational therapists' roles in community setting. Therefore, this study's results will provide useful information for occupational therapy services, for which the goal is SCI participation improvement within the community.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.382-390
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• 2017

This study was conducted to identify the factors affecting the quality of life of cancer patients based on demographic characteristics, health status, and mental health using the results of the 6th National Health and Nutrition Survey. The research tool used the demographic characteristics, health status, mental health, and quality of life of the KNHANES VI-2. Data analysis was conducted using SAS 9.3 version. There were significant differences in the quality of life in the study results by age, gender, economic activity, individual income quartile, subjective health status, mental health status, activity limitation, stress perception, and experience of depression symptoms. Factors influencing the quality of life of cancer patients included age, sex, income quintiles(individual), subjective health status, activity limitation, and experience of depression symptoms, which together explained 39.1% of the quality of life. To improve the quality of life of cancer patients, comprehensive management is required from diagnosis to treatment to return to society. It is also necessary to develop and apply long-term programs including multidimensional approaches and improvement of quality of life, early screening of cancer and cancer prevention education, management of depression symptoms, and social support.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1455-1461
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• 2014

In this study, using flux data measured in Deokgokje reservoir watershed near Deokyu mountain in May, June, and July 2011, statistical analysis was conducted for outlier detection and replacement for vertical wind speed in the measurement of evapotranspiration based on eddy covariance method. To statistically analyze the outliers of vertical wind speed, the outlier detection method based on interquartile range (IQR) in boxplot was employed and the detected outliers were deleted or replaced with mean. The comparison was conducted for the measured evapotranspiration before and after the outlier replacement. The study results showed that there is a difference between evapotranspiration before outlier replacement and evapotranspiration after outlier replacement, especially during the rainy day. Therefore, based on the study results, the outliers should be deleted or replaced in the measurement of evapotranspiration.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.477-483
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• 2015

This study deals with the decision problem of sample size by the relative standard error of estimates derived from survey results in successive occasions. The population of the construction in business survey results is used to calculate quartile of the relative standard error of the 1,000 sample obtained from simple or stratified random sampling. The sample size at time t with a relative standard error of the point (t-1) in the successive occasions were calculated according to the sampling method. As a result, in terms of the sample size according to the size of the relative standard error of the (t-1), simple random sampling differs significantly from stratified sampling. In addition, we could see differences in sample size (depending on how the population is stratified) and that careful attention is required in the problem of sample size by the relative standard error of estimates derived from survey results in successive occasions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1246-1254
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• 2012

The South Korea has the highest overall smoking rates of male among the thirty member-countries in the Organization for Economic Cooperation and Development. This study was performed to determine the association between amount of smoking and self-reported voice problem in Korean adult population using national survey data. Data were drawn from the Korea National Health and Nutritional Examination Survey 2008. Subjects were 3,600 persons (1,501 male, 2,099 female) aged 19 years and older living in the community. Adjusting for covariates (age, sex, education, income, longest occupation, alcohol drinking, pain and discomfort during the last 2 weeks), Severe smoke (>40.5-55.5 pack year), more than 20 cigarettes per day were independent risk factors for self-reported voice problem. It was found that the number of cigarettes smoked per day (CPD) the proportional increased in risk of voice disorders. These findings suggest that the investigation of CPD are required for effective screening of voice disorder.

• Communications of Mathematical Education
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• v.32 no.3
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• pp.435-453
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• 2018

The results analysis of National Assessment of Educational Achievement(NAEA) can provide various implications for teaching and learning in the school field. In this study we analyzed the deviation of NAEA achievement level-based correct-answer rate and the distribution of the responses percentages for three years from 2015 to 2017 focused on multiple-choice items. First we calculated the deviation of correct-answer rate between advanced level and proficient level and between proficient level and basic level, and then we selected the items whose deviation of correct-answer rate is more than the third quartile. We explored what the content areas, behavior areas and achievement standards of each item are and what the achievement standards and characteristics of these questions are. Based on the results of the analysis, we intended to derive implications for appropriate teaching-learning methods at each achievement-level.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.383-393
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• 2017

When we deal with grouped statistical data, it is desirable to use a calculation method that gives as close value to the true value of a statistic as possible. In this paper, we suggested a new method to calculate the quantiles of grouped data. The main idea of the suggested method is calculating the data values by partitioning the pentagons, that correspond to the class intervals in the frequency polygon drawn according to the histogram, into parts with equal area. We compared this method with existing methods through simulations using some datasets from introductory statistics textbooks. In the simulation study, we simulated as many data values as given in each class interval using the inverse transform method, on the basis of the distribution that has the shape given by the frequency polygon. Using the sum of squares of differences from quantiles of the simulated data as a criterion, the suggested method was found to have better performance than existing methods for almost all quartiles and deciles.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.267-276
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• 2020

The purpose of this study was to investigate the relationship between VAI, insulin resistance, and pancreatic beta cell function according to the prevalence of metabolic syndrome in obese adults. From 2017 to 2019, 1,797 obese adults who received medical checkups at a general hospital in Bundang. Diagnosis of metabolic syndrome is NCEP-ATP III. HOMA index was used for insulin resistance and pancreatic beta cell function. VAI was higher in the metabolic syndrome than in the control(p<.001). As the number of risk factors for metabolic syndrome increased, the VAI value was higher(p<.001). The prevalence of metabolic syndrome increased as the VAI quartile increased(p<.001). VAI was also shown to be related to HOMA-IR and HOMA-β in the control, but not in the metabolic syndrome.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.2
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• pp.534-539
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• 2010

In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future observations. There are three inherent steps to build classifiers: a significant gene selection, model selection and prediction assessment. In the paper, with a focus on prediction assessment, we normalize microarray data with quantile-normalization methods that adjust quartile of all slide equally and then design a system comparing several methods to estimate 'true' prediction error of a prediction model in the presence of feature selection and compare and analyze a prediction error of them. LOOCV generally performs very well with small MSE and bias, the split sample method and 2-fold CV perform with small sample size very pooly. For computationally burdensome analyses, 10-fold CV may be preferable to LOOCV.