• 대한가정학회지
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• 제25권1호
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• pp.105-119
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• 1987

The purpose of this study is to investigate the influences of demographic, personal and psychosocial variables on the wives' marital satisfaction in order to develop theories about the stablility of modern families. The data, collected from 490 mothers living in Seoul, is analyzed by statistical methods, such as Frequency Distribution, Pearson's Correlation, One-Way ANOVA, Scheffee-test and Multiple Regression Analysis. The major findings are as follows: 1) In my study, the Marital Satisfaction Scale consists of 7 dimensions; of which affective communication, problem-solving communication, and companionship are comparatively important variables. 2) Of demographic variables, wives' educational level is an influencing variable in 6 dimensions, and family monthly income, in general satisfaction. 3) Of personal variables, sex role attitude is a significantly influencing independent variable in satisfaction with children area and self actualization, variable in problem-solving communication area. 4) Of psychosocial variables, role enactment, role consensus, and role strain are proved to be influencing variables, but role salience is not. Also, role enactment is the most influencing independent variable in almost areas of marital satisfaction. 5) By given independent variables, variance is explained 30% of all. The implication that can be inferred from the above findings is that psychosocial variables are more important than demographic variables, and that personal variables such as androgyny, self-actualization should be encouraged to further research.

• 벤처창업연구
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• 제7권4호
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• pp.179-186
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• 2012

본 연구는 한국군 자살예방 프로그램이 병사의 스트레스대처방식, 문제해결능력, 우울과, 자살생각에 어떠한 효과가 있는지 검증하는데 그 목적이 있다. 이러한 연구목적을 달성하기 위하여 공군${\bigcirc}{\bigcirc}$ 부대에서 복무를 하고 있는 병사 중에서 사전 조사를 실시하여 자살징후 대상 병사와 부대로 부터 자살징후가 있다고 분류된 병사, 본인이 자살 충동을 느낀다고 본 프로그램에 참가의사를 밝힌 병사 등 총 64명을 대상으로 총 16회기의 자살예방 프로그램 교육을 실시하였다. 한국군 자살예방 프로그램의 실시 후 효과성을 검증하기 위한 통계처리는 SPSS 12.0 for Windows 통계 패키지 프로그램을 활용하여 빈도분석, 분산분석, 상관분석, t검정(Paired t-test)을 실시하였다. 그 결과 자살예방 프로그램이 스트레스대처 능력 및 문제해결능력이 향상되고 우울과 자살생각의 감소에 효과가 있는 것으로 나타났다.

• 응용통계연구
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• 제12권2호
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• pp.705-709
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• 1999

We discuss the paper by Cho, Shin, Lee, and Han on the "information-relate" undergraduate statistics major program from the following perspectives: Recently, Korean universities are under re-structuring turmoil. To effectively confront the situation, we need both the vision and the strategy for statistics and statistics departments. For undergraduate statistics major program, our visions are 1) it should not be preliminary education program targeted for the graduate degrees, 2) it should be responsive to future social demand, and 3) it should incorporate the progressive identity of statistics as information and data science. As strategies, we propose 1) the effective integration and due balance among data collection, management and analysis, 2) the harmony and role development of computers and mathematics as statistical tools, 3) the statistics education through task-oriented problem solving, and 4) the emphasis of team work and communication skills.on skills.

• Communications for Statistical Applications and Methods
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• 제6권2호
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• pp.635-644
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• 1999

This study aims at solving the problem in the application method of the comparative school record which is currently being discussed in depth among colleges. The application method of Kay O. Lee and Yeon Soo Cung(1997) which was appied in the 1999 Korean air force Academy Admission Process was found to be problematic in the following respects. First the setting of the standard which divides all the high schools in kora into five groups relative to their scholastic level is somewhat vague and subjective secondly the difference among those levels which resulted from the five grouping could greatly influence on the admission of the applicants and thirdly there is no standard in choosing those few promising individuals with high scholastic aptitude test results from the low level groups such as level four and five,. Therefore this study suggests and introduces a nationwide individual scholastic evaluation that would complement the limits and problems in the application method of the comparative school record.

• 산업경영시스템학회지
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• 제32권3호
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• pp.178-187
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• 2009

Six Sigma emphasizes KPI and establishes the present level as well as the goal level through statistical calculation and tries to achieve management innovation through process improvement. But in the area of new product development or service, sufficient data for statistical measurement may not be secured. On the other side, looking for contradictions through problem analysis, TRIZ is a methodology that stresses the process of solving these problems. TRIZ also has its own problems: it is hard to define its initial task, to objectify the measurement of effect, and to optimize the drawn out idea. The purpose of this report is to give a comprehensive understanding about each methodology (Sigma Six and TRIZ) through its analysis, to confirm the need of linking both methodologies, and to suggest a model for this linking process. Also, they will be verified through examples, and the synergy effect will be discussed.

• 한국주조공학회지
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• 제24권2호
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• pp.63-70
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• 2004

Foundry techniquews for large steel casting depends on the skills of foundrymen considerably. Especially, the problem of reducing casring surface defects is difficult to clear numerically. Statistical analysis by using wuantification theory for hot tear and sand inclusion, and multiple regression analysis for dimensional defects have been shown to be examples of solving this difficulty. Many causes of surface defects can be evaluated by these analyses. These evaluations serve as the base data of defect reduction and contribute to the constant improvement of casting quality and quality enhancement activity. The system to perform quality enhancement activity was developed and it proved very useful for transfering foundry techniques and skills from the old to young generations.

• Communications for Statistical Applications and Methods
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• 제9권1호
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• pp.229-240
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• 2002

Whether to use linear or quadratic model in the analysis of regression data is one of the important problems in classical regression model and measurement error model (MEM). In MEM, four goodness of fit test statistics are available In solving that problem. Two are from the derivation of estimators of quadratic MEM, and one is from that of the general $k^{th}$-order polynomial MEM. The fourth one is derived as a variation of goodness of fit test statistic used in linear MEM. The purpose of this paper is to find the most powerful test statistic among them through the small-scale simulation.

• Journal of the Korean Statistical Society
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• 제19권1호
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• pp.54-70
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• 1990

Consider the extreme problem : min$(\mu-y)'(\mu-y)$ subject to $A\mu \geq 0$, where A is an $n \times p$ matrix, which often occurs in solving the maximum likelihood estimator with ordered restrictions in parameter space. In case the matrix AA' has all non-positive off-diagonal elements, some propositions in this paper guarantee that the above extreme solutions are achieved at most at n sweep out steps in Gaussian eliminations. Some typicla examples of Sweep-the-Negatives method are given.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2003년도 춘계학술대회
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• pp.474-483
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• 2003

A number of studies for corporate bond rating classification problems have demonstrated that artificial intelligence approaches such as Case-based reasoning (CBR) can be alternative methodologies to statistical techniques. CBR is a problem solving technique in that the case specific knowledge of past experience is utilized to find a most similar solution to the new problems. To build a successful CBR system to deal with human information processing, the representation of knowledge of each attribute is an important key factor We propose a hybrid approach of using fuzzy sets that describe the approximate phenomena of the real world because it handles inexact knowledge represented by common linguistic terms in a similar way as human reasoning compared to the other existing techniques. Integration of fuzzy sets with CBR is important to develop effective methods for dealing with vague and incomplete knowledge to statistical represent using membership value of fuzzy sets in CBR.

• Communications for Statistical Applications and Methods
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• 제15권3호
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• pp.441-450
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• 2008

In this paper we propose a new method for solving multiclass problem with least squares support vector machine(LS-SVM) regression. This method implements one-against-all scheme which is as accurate as any other approach. We also propose cross validation(CV) method to select effectively the optimal values of hyper-parameters which affect the performance of the proposed multiclass method. Experimental results are then presented which indicate the performance of the proposed multiclass method.