• Journal of the Korean Data and Information Science Society
• /
• 제28권2호
• /
• pp.435-442
• /
• 2017

Consider the problem of estimating a $p{\times}1$ mean vector ${\theta}$ (p ${\geq}$ 3) under the quadratic loss from multi-variate normal population. We find a James-Stein type estimator which shrinks towards the projection vectors when the underlying distribution is that of a variance mixture of normals. In this case, the norm ${\parallel}{\theta}-K{\theta}{\parallel}$ is known where K is a projection vector with rank(K) = q. The class of this type estimator is quite general to include the class of the estimators proposed by Merchand and Giri (1993). We can derive the class and obtain the optimal type estimator. Also, this research can be applied to the simple and multiple regression model in the case of rank(K) ${\geq}2$.

• 대한간호학회지
• /
• 제20권1호
• /
• pp.16-37
• /
• 1990

A cost analysis for hospitalized patients was carried out based upon Patient Classification System(PCS) in order to determine an appropriate nursing fee. The data were collected from 21 nursing units of three teaching hospitals from April 1 to June 30, 1989. first, all of the 22,056 inpatients were classified into mildly ill(Class Ⅰ), moderately ill(Class Ⅱ), acutely ill(Class Ⅲ), and critically ill(Class Ⅳ) by the PCS which had been carefully developed to be suitable for the Korean nursing units. Second. PCS cost accounting was applied to the above data. The distribution of inpatients, nursing costs, and nursing productivity were as follows : 1) Patient distribution ranged from 45% to class Ⅰ, 36% to class Ⅱ, 15% to class Ⅲ, and 4% to class Ⅳ, the proportion of class Ⅳ in ‘H’ Hospital was greater than that of the other two hospitals. 2) The proportion of Class Ⅲ and Ⅳ in the medical nursing units was greater than that of surgical nursing units. 3) The number of inpatients was greatest on Tuesdays, and least on Sundays. 4) The average nursing cost per hour was W 3,164 for ‘S’ hospital, W 3,511 for ‘H’ hospital and W 4,824 for ‘K’ hospital. The average nursing cost per patient per day was W 14,126 for ‘S’ Hospital, W 15,842 for ‘H’ hospital and W 21,525 for ‘K’ hospital. 5) The average nursing cost calculated by the PCS was W 13,232 for class Ⅰ, W 18,478 for class Ⅱ, W 23,000 for class Ⅲ, and W 25,469 for class Ⅳ. 6) The average nursing cost for the medical and surgical nursing units was W 13,180 and W 13,303 respetively for class Ⅰ, W 18,248 and W 18,707 for class Ⅱ, W 22,303 and W 23,696 for class Ⅲ, and W 24,331 and W 26,606 for class Ⅳ. 7) The nursing costs were composed of 85% for wages and fringe benefits, 3% for material supplies and 12% for overhead. The proportion of wages and fringe benefits among the three Hospitals ranged from 75%, 92% and 98% for the ‘S’, ‘H’, ‘K’ hospitals respectively These findings explain why the average nursing cost of ‘K’ hospital was higher than the others. 8) According to a multi- regression analysis, wages and fringe benefits, material supplies, and overhead had an equal influence on determining the nursing cost while the nursing hours had less influence. 9) The productivity of the medical nursing units were higher than the surgical nursing units, productivity of the D(TS) - nursing units was the lowest while the K(Med) - nursing unit was the highest in 'S' hospital. In ‘H’ hospital, productivity was related to the number of inpatients rather than to the characteristics of the nursing units. The ‘K’ hospital showed the same trend as ‘S’ hospital, that the productivity of the medical nursing unit was higher than the surgical nursing unit. The productivity of ‘S’ hospital was evaluated the highest followed by ‘H’ hospital and ‘K’ hospital. Future research on nursing costs should be extended to the other special nursing areas such as pediatric and psychiatric nursing units, and to ICU or operating rooms. Further, the PCS tool should be carefully evaluated for its appropriateness to all levels of institutions(primary, secondary, tertiary). This study took account only of the quantity of nursing services when developing the PCS tool for evaluating the productivity of nursing units. Future research should also consider the quality of nursing services including the appropriateness of nursing activities.

• 한국항공운항학회지
• /
• 제29권4호
• /
• pp.21-27
• /
• 2021

The paper, in an online learning environment which becomes prolonged for reason of COVID-19, on 80 students belonging to the aviation and aeronautics, proposed more concrete direction for raising effectiveness of online class by analyses of various standpoints regarding the relation between 8 detailed elements of self-initiated learning ability and learning satisfaction. As a result of analyses, first, it turned out that, among detailed elements of self -initiated learning ability, relatively high scores were showed in basic self management ability, grasp of resources for learning, attribution of efforts to results, and selection of learning strategies. Second, in correlation between self-initiated learning ability detailed elements and learning satisfaction and technical statistical analyses, the score of the two elements: learning goal setting and continuance of learning execution is low, so that it is necessary to note the two elements. Third, as to self-initiated learning ability, the average of female students is high and in learning satisfaction, the average of male students was high. Fourth, it was found that the first-class students showed significantly high learning satisfaction compared with the second-class students. Fourth it turned out that, regarding a difference, both of self-initiated learning ability and learning satisfaction were dismissed and thus there is no difference. Fifth, as to the effects of self-initiated learning ability on learning satisfaction, both of a corelation analysis and a regression analysis showed significant results. Accordingly, self-initiated learning ability in online class has a very significant effect on learning satisfaction.

• 문화기술의 융합
• /
• 제8권6호
• /
• pp.543-551
• /
• 2022

본 연구는 간호대학생의 과제가치가 수업참여도에 영향을 미치는 과정에서 학업적 자기효능감의 매개효과를 파악하기 위해 시도되었다. 연구대상자는 G시에 소재한 K대학의 간호학과 2학년 재학생 161명으로, 자료수집 기간은 2020년 10월 5일~10월 14일이었다. 과제가치와 수업참여도 간의 관계에서 학업적 자기효능감의 매개효과는 단순 및 다중회귀분석을 활용한 Baron과 Kenny의 3단계 매개효과 검증절차를 이용하여 분석하였고, 매개효과에 대한 통계적 유의성은 Sobel test로 검증하였다. 본 연구결과 과제가치와 학업적 자기효능감은 수업참여도에 영향을 미치는 주요 요인이었으며, 과제가치와 수업참여도 간의 관계에서 학업적 자기효능감은 유의한 부분매개 변인인 것으로 나타났다. 이들 요인은 수업참여도를 55% 설명하였다. 학습자의 수업참여도를 높이기 위해서는 과제가치와 학업적 자기효능감을 향상시킬 수 있는 통합적 접근방법이 필요하다.

• Journal of the Korean Statistical Society
• /
• 제30권2호
• /
• pp.247-263
• /
• 2001

This paper concerns a problem of classification based on training dta. A framework of information geometry is given to elucidate the characteristics of discriminant functions including logistic discrimination and AdaBoost. We discuss a class of loss functions from a unified viewpoint.

• Communications for Statistical Applications and Methods
• /
• 제7권2호
• /
• pp.393-401
• /
• 2000

Many graphical methods have been suggested for obtaining an impression of a curvature in regression problem in which some covariates enter nonlinearly. However when true model does not belong to the class of additive models, graphical methods may contain a serious bias. A method is suggested which can avoid such bias in the fitting of nonaddive models.

• 부모자녀건강학회지
• /
• 제7권1호
• /
• pp.38-49
• /
• 2004

This study is to investigate the main factors influencing prenatal attachment. The research method is on the basis of descriptive correlational study, and data collecting period was from 11 to 29, November, 2003. The objects of this study were 100 pregnant women of two OBGY Hospitals in Masan. Using the SPSS/WIN 10.1 program the data were analyzed by t-test, ANOVA, Pearson correlation coefficient, stepwise multiple regression analysis. The result of this study was as follows : The mean score of prenatal attachment was 2.64, the mean score of physical discomforts, 1.61, the mean score of husband-wife attachment, 3.28, the mean score of psychosocial adjustment of pregnancy, 1.82. The degree of prenatal attachment according to general characteristics was significantly difference according to religion. The degree of prenatal attachment according to obstetrical characteristics was significantly difference according to Lamaze class, Taekyo. Significant correlations of prenatal attachment was found in both psychosocial adjustment of pregnancy, Taekyo, husband-wife attachment, Lamaze class, religion. Stepwise multiple regression analysis showed that 52% of the variance in prenatal attachment was significantly accounted by psychosocial adjustment of pregnancy(34%), Taekyo(6%), husband-wife attachment(5%), Lamaze c1ass(5%), and religion(3%). Further findings of this study support the development of creative strategies to enhance positive attachment relationship for pregnant woman.

• 성인간호학회지
• /
• 제25권1호
• /
• pp.13-23
• /
• 2013

Purpose: The purpose of this study was to investigate the factors that influence health-related quality of life in patients with atrial fibrillation. Methods: The subjects were 150 outpatients with atrial fibrillation who visited the cardiology clinic of a university hospital in U city. The instruments used for this study were Mhel Uncertainty in Illness Scale (MUIS), Center for Epidemiologic Studies-Depression Scale (CES-D), State Trait Anxiety Inventory (STAI), and the Short-Form-36 Health Survey (SF-36) Korean version II. The date were analyzed by ANOVA, Pearson-correlation coefficient, and hierachial multiple regression using SPSS/WIN 18.0. Results: The mean score of physical health-related quality of life (PCS) was $38.92{\pm}6.22$ and mental health-related quality of life (MCS) was $41.49{\pm}5.71$. Physical and Mental health-related quality of life had the significant correlations with uncertainty, anxiety and depression. In multiple regression analysis, physical health-related quality of life was significantly influenced by duration of disease, NYHA class, uncertainty. Mental health-related quality of life was significantly influenced by family income, NYHA class, anxiety and depression. Conclusion: These results suggest that these influencing factors should be consider in developing the nursing interventions to improve the healthrelated quality of life in patients with atrial fibrillation.

• 한국게임학회 논문지
• /
• 제15권4호
• /
• pp.59-68
• /
• 2015

정보통신기술의 발달로 빅데이터 분석을 통해 사람들 일상의 기록과 잠재적 요구까지 통찰할 수 있게 되었으며, 우리의 일상 속에서 방대한 정보를 실시간으로 도출하고 있다. 여러 산업이나 기업에서 이미 빅데이터와 결합시켜 비즈니스 등 다양한 분야에 활용하고 있지만 게임 산업에서의 빅데이터 활용은 아직까지 미흡한 실정이다. 이에 본 연구에서는 데이터 마이닝을 기법을 적용하여 전략시뮬레이션 게임 데이터를 분석하였다. 전략시뮬레이션 게임 데이터를 Decision Tree, Random Forest, Multi-class SVM, Linear Regression 분석 기법을 적용하여 게임 유저의 게임수준에 영향을 미치는 요인을 분석하였다. 게임수준을 예측하는데 있어 가장 우수한 성능을 보인 기법과 변수들을 도출하여 게임 디자인과 사용성을 증대시키기 위한 제안을 하고자 한다.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제16권1호
• /
• pp.48-55
• /
• 2016

Purpose: The purpose of this study is to identify the object-oriented metrics which have strong impact on the reliability and fault-proneness of software products. The reliability and fault-proneness of software product is closely related to the design properties of class diagrams such as coupling between objects and depth of inheritance tree. Methods: This study has empirically validated the object-oriented metrics to determine which metrics are the best to predict fault-proneness. We have tested the metrics using logistic regressions and artificial neural networks. The results are then compared and validated by ROC curves. Results: The artificial neural network models show better results in sensitivity, specificity and correctness than logistic regression models. Among object-oriented metrics, several metrics can estimate the fault-proneness better. The metrics are CBO (coupling between objects), DIT (depth of inheritance), LCOM (lack of cohesive methods), RFC (response for class). In addition to the object-oriented metrics, LOC (lines of code) metric has also proven to be a good factor for determining fault-proneness of software products. Conclusion: In order to develop fault-free and reliable software products on time and within budget, assuring quality of initial phases of software development processes is crucial. Since object-oriented metrics can be measured in the early phases, it is important to make sure the key metrics of software design as good as possible.