• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.25-28
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• 2011

In this paper, we study some properties of condition for fuzzy data, agrement index by ratio of area and the uniformly most powerful fuzzy test of hypothesis. Also, we suggest a confidence bound for uniformly most powerful fuzzy test. For illustration, we take the most powerful critical fuzzy region from exponential distribution by likelihood ratio and test the hypothesis of ${\chi}^2$-distribution by agreement index.

• Journal of Korean Society of Disaster and Security
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• v.10 no.1
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• pp.11-17
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• 2017

The case study on ground subsidence was conducted and the cause of ground subsidence was evaluated, main cause were insufficient site exploration, inaccurate strength parameters, defective temporary wall, insufficient reaction for boiling and heaving, excessive excavation and so on. Risk factors during excavation were identified from the cause of ground subsidence and risk factors were site exploration, selecting excavation method, structure analysis, measurement plan, excavation method construction, underground water level change, natural disaster and construction management. The survey of the experts on risk factors identified was conducted to evaluate the importance of risk factors, and confidence analysis was performed to evaluate the significance level between survey result and survey respondent using Chi-square Test.

• Communications for Statistical Applications and Methods
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• v.18 no.3
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• pp.287-294
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• 2011

Peer assessment is an educational valuation system that involves studying with a colleague and granting value to the progress made by the colleague. Although this method has many merits, there is also a drawback pertaining to calculating the mean of the scores that were granted to the levels of contribution. However, this has been improved upon by a diversified study. However, the concept of the chi-square test and p-value used in the preceding study is not easy individuals engaged in the industrial engineering field or education when using peer assessment. This study uses simple statistics like standard deviation, in addition to, investigating the availability of a suggested method as well as examples of utility and application. This study can contribute to increase the convenience of users through the use of convenience analysis and with this method.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.757-764
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• 2012

This research is for comparison of test statistics for homogeneity when the data is collected based on complex sample design. The survey data based on complex sample design does not satisfy the condition of independency which is required for the standard Pearson multinomial-based chi-squared test. Today, lots of data sets ara collected by complex sample designs, but the tests for categorical data are conducted using the standard Pearson chi-squared test. In this study, we compared the performance of three test statistics for homogeneity between two populations using data from the 2009 customer satisfaction evaluation survey to the service from Gyeongsangnam-do regional offices of education: the standard Pearson test, the unbiasedWald test, and the Pearsontype test with survey-based point estimates. Through empirical analyses, we fist showed that the standard Pearson test inflates the values of test statistics very much and the results are not reliable. Second, in the comparison of Wald test and Pearson-type test, we find that the test results are affected by the number of categories, the mean and standard deviation of the eigenvalues of design matrix.

• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.407-417
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• 2010

In Basel II compliance, internal rating systems are allowed for banks to enhance the self control and the validation of the system are getting more important. The validation methods are composed of qualitative test and quantitative test, three basic standards of which are discriminatory power, stability and calibration. The aim of this article is to review the quantitative tests for calibration and find a new method for it. These methods for discrimination between forecasted PD and observed PD include binomial test, chi square test, Brier score, traffic lights approach, normal test and extended traffic lights approach. We introduce a modified extended traffic lights approach considering asset correlations.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1525-1536
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• 2016

ROTC is the system that selects the best students in university and implements the military training of two years and uses them as beginning commander of the army by commissioning as officers. ROTC makes up a very large portion of the army and society in Korea in terms of the size and role. Therefore, it is very important to enhance intangible combat power of the Korean army by improving leadership of primary grade officer from ROTC. The purpose of this paper is to investigate whether or not ROTC candidate training program is providing the right training, so as to improve ROTC's leadership and present improvement plan. First, we divide ROTC candidate training program into three areas and take the 1st and 2nd survey. Then we compare and analyze the actual condition and recognition of investigation using statistical analysis methods such as chi-square test, ANOVA and Duncan's multiple range test. Also, we analyze the element affecting the army leader's three qualities formation which are basic elements of ROTC cadet's leadership using multiple regression analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1957-1960
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• 2002

본 연구는 컴포넌트의 효율적인 검색을 위하여 각 컴포넌트의 코드 정보를 분석하고, 카이제곱 검정 방법을 통하여 분석한 컴포넌트 정보인 term들을 최적화하였다. term의 최적화를 위한 시뮬레이션에서 전체 term 중 약 20%가 제거되었다. 또한 최적화된 term들을 이용하여 term-component 관계를 이용한 매칭, 비매칭 관계 계산을 통하여 term-term 사이의 유의어 매트릭스를 구성함으로써 시소러스를 구축하였다. 시소러스를 통한 검색 결과 최적화 이전의 검색결과와 성능이 비슷하게 나타나 본 연구의 시소러스 구축이 더 효율적임을 알 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.363-371
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• 2019

The purpose of this research is to provide data for the relations between lifestyle, stress and hypertension in a group of construction Temporary employee. The methods taken in this study was to survey the general characteristics and stress in the group, and figure out the relations between lifestyle and hypertension. This study targeted at 301 Temporary employee. in Young-dong for six months (2014~2015). Data analysis used errors and percentages, chi-square tests, one-way ANOVA analysis, independent sample t-test, chi-square test and multivariate logistic regression. The study shows that no relations between age and hypertension, but according to job characteristics, aggravate lifestyle just like smoking(P=0.049), eating habit(P=0.012), physical(p=0.022) & psychological(p=0.011) state there is an effect on hypertension. Based on the results of this study, it is found that temporary workers in small and medium-sized construction companies with high work-related disaster rates need to improve their living habits and physical psychological conditions and manage high blood pressure, as well as research and management of chronic diseases such as obesity, diabetes and dyslipidemia.

• Tunnel and Underground Space
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• v.21 no.1
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• pp.50-65
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• 2011

Analysis of correlation and behavior characteristics at elastic wave velocity have studied on Korean rock data after checking population size and Chi-square method. Behavior characteristics are quite different from each rock and mechanical parameters at elastic wave velocity. This study shows it is necessary to analize correlation to rock behavior characteristics for correct answer from natural rock.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.147-157
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• 2017

The test of transition probabilities in panel Markov chains are introduced. We deal with the hypotheses whether panel Markov chains have the same transition probabilities or not for all times. We suggest a LR test statistic for the test and its limit distribution is derived. We perform a simulation study to examine the limit distribution of test statistics when the number of the individuals are large.