• 한국수학사학회지
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• 제11권1호
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• pp.52-57
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• 1998

Since cluster analysis encompasses many diverse techniques for discovering structure within complex bodies of data, it has been employed as an effective tool in scientific inquiry. Recent works on cluster analysis softwares carried out by SAS, SPSS, S-PLUS and BMDP are briefly summarized and investigated in this paper. The inferred statistical package for windows executing a nay for data analysis in modern statistical techniques has several merits superior to other packages. Especially, S-PLUS can be designed and tried out much faster than other statistical packages. S-PLUS provides a graphic which is interactive, informative, flexible ways of looking at data. Also, if a statistical computation time is long and programs are complex, these can be shorten by providing interfaces to the UNIX systems (or C, Fortran).

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.41-52
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• 2006

Because most common assumption is normality in statistical analysis, testing normality is very important. The Q-Q plot is a powerful tool to test normality with full samples in statistical package. But the plot can't test normality in type-II censored samples. This paper proposed the modified the Q-Q plot and the modified normalized sample Lorenz curve(NSLC) for normality test in the type-II censored samples. Using the two Hodgkin's disease data sets and the type-II censored samples, we picture the modified Q-Q plot and the modified normalized sample Lorenz curve.

• Safety and Health at Work
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• 제13권2호
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• pp.235-239
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• 2022

Background: The purpose of present study was to determine the effectiveness of training program based on job stress management in NEDSA and line staff. Methods: The study method of this study was quantitative and quasi-experimental research Methods: From the statistical population (all employees of the NEDSA and line staff in 2020-2021), 30 of these people were selected by judgmental sampling method and considering the inclusion and exclusion criteria. The participants were first matched based on age and education and were randomly divided into experimental and control groups. First, pre-test was taken from both groups (Job Stress Questionnaire). The experimental group was presented with a job stress management training package and no protocol was presented in the control group. After the sessions, post-test was received from both groups (experimental and control). After two months, a follow-up test was performed. Results: The results were entered into SPSS-24 software and analyzed. The results of repeated measure showed high effectiveness of the job stress management package (researcher-made). The results showed that the job stress management training package showed 67.5% effectiveness and also the training effect of job stress management training was stable for two months (follow-up). Conclusion: Based on these results, Training program based on stress management can be effective in military staff.

• 한국멀티미디어학회논문지
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• 제15권6호
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• pp.701-710
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• 2012

망막색소변성(RP: Retinitis Pigmentosa)이란 가장 흔한 유전성 망막질환이다. 정상적인 사회활동을 영위하던 사람들이 이 질병으로 시력이 손상되면서 좌절과 고통을 겪는다. 또한 국가적 차원에서 이들의 경제활동이 끊김에 따라 경제활동 인구 감소에 따른 손실 또한 크다고 하겠다. 이에 망막색소변성 질환에 대한 임상 예후 정보를 제공할 수 있는 연구기반이 절실히 요구되고 있다. 본 연구는 망막색소변성 데이터에 대한 패턴 분류를 통해 예후 예측이 가능함을 제안한다. 기존에는 주로 SPSS등을 활용한 통계 처리 결과가 데이터 분석에 적용되었다. 그러나 본 연구에서는 기계학습과 자동 패턴 분류를 실험하였다. SVM(Support Vector Machine)과 여러 다양한 패턴분류기들을 실험을 위해 사용하였다. 제안한 방법은 SVM 분류기에 의하여 RP 데이터가 자동적으로 분류된 결과를 바탕으로 예후 예측이 가능함을 확인하였다.

• 한국안전학회지
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• 제28권5호
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• pp.61-65
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• 2013

Occupational stresses of steel manufacturing workers have been investigated using an organized questionnaire composed of 40 items. Three hypothesizes were developed based on the literature review of related researches. Empirical data surveyed from ones working in steel manufacturing jobs were collected and the in-depth statistical analyses using Statistical Package for the Social Sciences(SPSS) software were performed. These statistical results indicate that the existence of occupational stress may cause to take place industrial accidents. Consequentially, the prevention of occupational stress helps to promote the will to work, following by increasing job satisfaction in working circumstance of steel manufacturing.

• 대한치과기공학회지
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• 제36권1호
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• pp.17-23
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• 2014

Purpose: The purpose of this study was to analyze and compare the relative accuracy of digitized stone models of lower full arch, using two different scanning system. Methods: Replica stone models(N=20) were produced from lower arch acrylic model. Twenty digital models were made with the white light and blue LED($Medit^{(R)}$, Korea) scanner. Two-dimensional distance between the landmarks were measured on the Delcam $CopyCAD^{(R)}$(Delcam plc, UK). Independent samples t-test was applied for comparison of the groups. All statistical analyses were performed using the SPSS software package(Statistical Package for Social Sciences for Windows, version 12.0). Results: The absolute disagreement between measurements made directly on the two different scanner-based dental digital models was 0.02~0.04mm, and was not statistically significant(P>0.05). Conclusion: The precision of the blue LED optical scanner was comparable with the digitization device, and relative accuracy was similar. However, there still is room for improvement and further standardization of dental CAD technologies.

• 응용통계연구
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• 제23권5호
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• pp.933-941
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• 2010

행렬도는 고차원의 자료를 저차원 공간에 투영하여 자료를 시각화하는 비교적 현대적인 방법으로써, 자료의 산포도, 집단 구분, 변수사이의 상관관계 등 유용한 정보들을 제공한다. 본 연구에서는 이러한 행렬도를 간략하게 소개하고, 행렬도의 구현을 위해 대중성이 높아지고 있는 무료 소프트웨어인 R의 BiplotGUI 패키지를 사용하였다. 그리고 전북대학교에서 2009년도에 실시된 신입생의 진로의식 조사 자료를 이용하여, 신입생의 선호직업과 진로성숙도의 관계를 행렬도 분석방법으로 살펴보았다.

• Communications for Statistical Applications and Methods
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• 제29권4호
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• pp.421-439
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• 2022

Phase I dose-finding trials are essential in drug development. By finding the maximum tolerated dose (MTD) of a new drug or treatment, a Phase I trial establishes the recommended doses for later-phase testing. The primary toxicity endpoint of interest is often a binary variable, which describes an event of a patient who experiences dose-limiting toxicity. However, there is a growing interest in dose-finding studies regarding non-binary outcomes, defined by either the weighted sum of rates of various toxicity grades or a continuous outcome. Although several novel methods have been proposed in the literature, accessible software is still lacking to implement these methods. This study introduces a newly developed R package, UnifiedDoseFinding, which implements three phase I dose-finding methods with non-binary outcomes (Quasi- and Robust Quasi-CRM designs by Yuan et al. (2007) and Pan et al. (2014), gBOIN design by Mu et al. (2019), and by a method by Ivanova and Kim (2009)). For each of the methods, UnifiedDoseFinding provides corresponding functions that begin with next that determines the dose for the next cohort of patients, select, which selects the MTD defined by the non-binary toxicity endpoint when the trial is completed, and get oc, which obtains the operating characteristics. Three real examples are provided to help practitioners use these methods. The R package UnifiedDoseFinding, which is accessible in R CRAN, provides a user-friendly tool to facilitate the implementation of innovative dose-finding studies with nonbinary outcomes.

• 농업과학연구
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• 제39권1호
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• pp.133-142
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• 2012

In this paper, animal welfare egg was focused in Korea. This study was built to establish marketing strategies for the animal welfare egg. Data were collected by consumer survey on November 4th, 2011 at Chuncheon Hanaromart in Chuncheon. 355 questionnaires were distributed and collected. SAS 9.1 and Excel 2007 were used as statistical packages and ranked logit model was used to analyze. From the results of the study the following improving plans were suggested for the consideration factors affecting to purchase for animal welfare egg. First, strategies using public relations are needed only for package design. The package design will be able to complements gaps for low advertisement. Moreover, when consumer will be provided information on packaging for consumers, the consumer will be able to reduce anxiety. Second, package design of identity strategies are needed. There are so many package designs in market. The package design of identity may give competition power to the animal welfare egg.

• Communications for Statistical Applications and Methods
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• 제21권5호
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• pp.423-433
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• 2014

Test statistics using cumulative sums of residuals have been widely used in various regression models including generalized linear models(GLM). Recently, Pan and Lin (2005) extended this testing procedure to the generalized linear mixed models(GLMM) having random effects, in which we encounter difficulties in computing the marginal likelihood that is expressed as an integral of random effects distribution. The Gaussian quadrature algorithm is commonly used to approximate the marginal likelihood. Many commercial statistical packages provide an option to apply this type of goodness-of-fit test in GLMs but available programs are very rare for GLMMs. We suggest a computational algorithm to implement the testing procedure in GLMMs by a freely accessible R package, and also illustrate through practical examples.