• Journal of Chest Surgery
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• v.27 no.12
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• pp.1047-1051
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• 1994

Airway obstruction may be caused by extreme mediastinal shift and rotation after right pneumonecotmy or after left pneumonecotomy in the presence of right aortic arch.We experienced such a complication after right pneumonectomy, so called right postpneumonectomy syndrome. The patient was 28 years old female, and 4 month ago she had undergone right pneumonecotomy via video assisted thoracoscopic surgery[VATS] for endobronchial tuberculus dissemination and secondary pulmonary infection. She was treated by mediastinal repositioning which were composed of substernal fixation of pericardium and insertion of expandable prosthesis of 1000 cc capacity. She had good postoperative course and now she feels no obstructive symptoms.

• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.225-233
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• 2000

In life-testing experiments, in which the longest time an experimental unit is on test is not a failure time, but rather a censored observation. For the situation the Kaplan-Meier estimator is known to be a baised estimator of the survival function. Several modifications of the Kaplan-Meier estimator are examined and compared with bias and mean squared error.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.158-158
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• 2016

본 연구에서는 극치 분포의 오른쪽 꼬리 부분 예측 시 안정적인 확률수문량 산정하는 확률분포형과 매개변수 추정 방법을 평가하기 위해 Monte Carlo 모의를 수행하였다. 수문자료의 빈도해석에 적합한 것으로 알려진 generalized extreme value (GEV), Gumbel (GUM), generalized logistic (GLO), gamma3 (GAM3), normal (NOR), log-normal3 (LN3) 총 6개의 확률분포형을 바탕으로 오른쪽 꼬리 부분의 확률수문량 추정 성능을 모의 실험을 통해 평가하고자 한다. 30년 이상 자료를 보유한 기상청 지점의 지속기간별 연최대값 자료를 분석한 결과를 바탕으로 모분포를 GEV분포로 선정하였으며 평균이 1.0, 표준편차 0.5, 왜곡도 계수는 0.5, 1.0, 2.0, 3.0, 4.0이 되도록 가정하였다. 또한 자료 길이에 따른 성능 평가를 위해 표본 크기 20, 50, 100, 150, 200개에 대해 분석을 수행하였다. 위와 같은 가정으로 총 25종류(왜곡도계수 5개 ${\times}$ 표본 크기 5개)의 발생된 모분포에 6가지의 확률분포형과 3가지의 매개변수 추정방법(모멘트법, 최우도법, 확률가중모멘트법)을 조합한 18가지의 모델을 비교 분석해보았다. 평가방법으로는 평균 제곱근 오차(Root Mean Square Error, RMSE), 편의(bias), 평균 상대오차(Mean Relative Difference, MRD), 평균 절대 상대오차(Mean Absolute Relative Difference, MARD)를 사용하여 적용 모델의 성능을 비교 분석하였다.

• Journal of Chest Surgery
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• v.7 no.1
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• pp.117-122
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• 1974

The benign tumor of smooth muscle, the leiomyoma, may arise anywhere in the body, in such tissues as the muscularis of the gut and the media of blood vessels, although by far its most common location is the uterus. Indeed, the mediastinal leiomyomas are extremely rare, especially when one excludes those arising in the esophagus. No dogmatic statements can be made with regard to age, sex distribution, symptoms, or clinical course because of the extreme paucity of cases available for evaluation. Although the majority of the reported cases are in the posterior mediastinum, thus suggesting esophageal origin. We have experienced a right inferior mediastinal leiomyoma in 36 years old housewife. She complained hemoptysis and right lower chest pain associated with intermittent low-graded fever and chillness. Routine X-ray film revealed a large irregular cystic mass density in the right lower thoracic cavity. On exploratory thoracotomy, a huge round yellow-gray colored solid mass, measured about 2.5kg in weight, was located in the right inferior mediastinum just above right hemidiaphragm, medially. The tumor mass was removed, being proved to be leiomyoma on histopathologic examination. Her postoperative course was uneventful and discharged without complication.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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• pp.833-845
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• 2011

This paper conducts a statistical analysis of extreme values for both daily log-returns and daily negative log-returns, which are computed using a collection of KOSPI data from January 3, 1998 to August 31, 2011. The Poisson-GPD model is used as a statistical analysis model for extreme values and the maximum likelihood method is applied for the estimation of parameters and extreme quantiles. To the Poisson-GPD model is also added the Bayesian method that assumes the usual noninformative prior distribution for the parameters, where the Markov chain Monte Carlo method is applied for the estimation of parameters and extreme quantiles. According to this analysis, both the maximum likelihood method and the Bayesian method form the same conclusion that the distribution of the log-returns has a shorter right tail than the normal distribution, but that the distribution of the negative log-returns has a heavier right tail than the normal distribution. An advantage of using the Bayesian method in extreme value analysis is that there is nothing to worry about the classical asymptotic properties of the maximum likelihood estimators even when the regularity conditions are not satisfied, and that in prediction it is effective to reflect the uncertainties from both the parameters and a future observation.

• Communications for Statistical Applications and Methods
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• v.26 no.3
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• pp.239-259
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• 2019

The transmuted generalized extreme value (TGEV) distribution was first introduced by Aryal and Tsokos (Nonlinear Analysis: Theory, Methods & Applications, 71, 401-407, 2009) and applied by Nascimento et al. (Hacettepe Journal of Mathematics and Statistics, 45, 1847-1864, 2016). However, they did not give explicit expressions for all the moments, tail behaviour, quantiles, survival and risk functions and order statistics. The TGEV distribution is a more flexible model than the simple GEV distribution to model extreme or rare events because the right tail of the TGEV is heavier than the GEV. In addition the TGEV distribution can adjusted various forms of asymmetry. In this article, explicit expressions for these measures of the TGEV are obtained. The tail behavior and the survival and risk functions were determined for positive gamma, the moments for nonzero gamma and the moment generating function for zero gamma. The performance of the maximum likelihood estimators (MLEs) of the TGEV parameters were tested through a series of Monte Carlo simulation experiments. In addition, the model was used to fit three real data sets related to financial returns.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.399-400
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• 2017

홍수나 가뭄 등 극치 현상의 통계분석 및 빈도해석에 있어 극치분포형이 널리 사용되고 있으며, 이러한 극치분포형의 특성을 이해하기 위해서는 분포형의 오른쪽 꼬리(right tail) 부분 특성을 자세히 분석할 필요가 있다. 이에 따라 본 연구에서는 Monte Carlo 모의를 통하여 다양한 극치분포형의 오른쪽 꼬리 부분의 통계적 특성 및 그 예측 능력을 연구하였다. 극치분포형으로는 우리나라 확률수문량 산정에 널리 활용되고 있는 generalized extreme value (GEV), Gumbel, generalized logistic 분포를 사용하였으며, 매개변수 산정 방법으로는 확률가중모멘트법을 사용하였다. 모의실험의 모분포로는 수문빈도해석에서 많이 사용되는 GEV 분포를 사용하였고, 30년 이상 자료를 보유한 기상청 지점 자료의 왜곡도를 조사하여 모의실험에 사용되는 모집단의 왜곡도로 가정하여 표본 자료를 발생시켰다. 예측 능력의 평가는 재현기간 10~1000년의 확률수문량을 왜곡도계수를 고려한 GEV 도시위치공식을 이용하여 GEV 확률지에 도시하고, 평균제곱근오차(root mean square error), 편의(bias), 평균상대오차(mean relative difference), 평균절대상대오차(mean absolute relative difference)를 이용하여 최적 분포형을 선정함으로써 이루어진다. 또한 예측 능력 평가결과의 타당성 확인을 위해 극치분포형의 적합정도를 잘 나타낸다고 알려진 modified Anderson-Darling 방법의 검정결과와 비교하여 적절성을 확인하였다.

• Journal of the Ergonomics Society of Korea
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• v.20 no.2
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• pp.71-82
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• 2001

Twisting posture in lifting tasks has been identified as a risk factor of low back pain. However, it has been usually estimated in terms of compressive stress or muscular activity. Thus, this study was conducted to predict the influence on muscular fatigue during lifting simulation. Fifteen young and healthy subjects were recruited and performed isometric trunk exertions during upright standing, two-level flexions and five-level asymmetric twisting conditions. EMG signals from five primary trunk muscles in right part of body were collected during 20sec for 45 different lifting conditions. RMS(root mean square) and MPF(mean power frequency) parameters were used to analyze the EMG signals. Twisting postures were significant in right erector spinae(ERSR), right latissimus dorsi(LATR), right internal oblique(INOR) for muscular activities. Especially, when trunk was $30^{\circ}$ CCW twisting posture. ERSR and INOR activities increased respectively by 11% and 3%. Regarding the trunk muscle fatigue, we found that MPF shifts in twisting posture increased 2.3 and 2.6 times for ERSR and INOR muscles respectively. Therefore, It is probable for workers to suffer from low back disorders when they were exposed to a extreme twisting posture during prolonged lifting. This study suggests NIOSH(National Institute for Occupational Safety and Health) lifting equation needs the time-duration multiplier in addition to asymmetric multiplier.

• Journal of Fashion Business
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• v.7 no.4
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• pp.78-92
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• 2003

The upper-body characteristics of the right-handed and the left-handed are examined and compared through 1-dimensional measurement and 2-dimensional measurement. The results were as follows: 1. According to 1-dimensional measurement results, the clearest differences were seen in girth items rather than height or length items. In particular, hand girth, lower arm girth, and upper arm girth were bigger on the left side in the left-handed group and the right side in the right-handed group. This is thought to be relevant to the arm muscles frequently used. 2. According to 2-dimensional measurement results, significant differences appeared in the females of the left-handed group: shoulder point among width items. In the right-handed group, some differences of significance were shown in females (shoulder point, rear armpit point, and B.P. point among width items) and males (front neck point among extreme vertical distance items). In summary, the body type characteristics of the left-handed and the right-handed reveal great differences in the items related to arm length and arm girth. In other words, the sleeve and shoulder patterns production based on the right-handed don't rightly reflect the somatotype characteristics of the left-handed. In addition, in the cases of athletes, laborers, and the disabled who frequently use particular muscles or parts of the body, this sort of research in the patterns is consistently needed in order to reflect the size differences in girth items in upper body.

• Korean Journal of Legislative Studies
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• v.25 no.2
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• pp.35-67
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• 2019

This study aims to analyze and evaluate the outcomes of the far-right parties in the 2019 European Parliament (hereinafter EP) elections. To this end, this study refrains from the conventional method of analyzing the number of seats of the political group(s) classified as far-right in the EP. Instead, the study takes a method based on the party family classification by summing up the number of the EP members who have been elected to the far-right party within individual member states. There are two reasons for the analysis of EP election results based on this far-right party family. Firstly, some of the far-right members of the EP do not join the political group(s) classified as far-right, and secondly, some of the political group(s) classified as far-right tends to be inhomogeneous. In this vein, this study attempts to analyze the outcomes of the far-right party in the 2019 EP elections based on the classification of the far-right party family. As a result, this study shows that the assessment of the European major press based on the number of seats of the political group(s) classified as far-right in the EP was inconsistent with the actual political landscape. According to the analysis of election results based on the classification of the far-right party family, the number of seats secured by the far-right parties in the 2019 EP elections corresponded to or significantly exceeded the results of previous polls. In addition, this is a significant increase in the seats of the far-right parties compared to the 2014 EP elections, and it is reasonable to affirm that the far-right parties have made great strides in the 2019 EP elections.