• Communications for Statistical Applications and Methods
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• 제16권4호
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• pp.697-705
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• 2009

The Pearson chi-squared statistic or the deviance statistic is widely used in assessing the goodness-of-fit of the generalized linear models. But these statistics are not proper in the situation of continuous explanatory variables which results in the sparseness of cell frequencies. We propose a goodness-of-fit test statistic for the cumulative logit models with ordinal responses. We consider the grouping of a dataset based on the ordinal scores obtained by fitting the assumed model. We propose the Pearson chi-squared type test statistic, which is obtained from the cross-classified table formed by the subgroups of ordinal scores and the response categories. Because the limiting distribution of the chi-squared type statistic is intractable we suggest the parametric bootstrap testing procedure to approximate the distribution of the proposed test statistic.

• 한국산업보건학회지
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• 제30권2호
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• pp.124-133
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• 2020

Objectives: Mask fit is a crucial factor in preventing respiratory infections among healthcare workers. The current coronavirus(COVID-19) pandemic calls for the replacement of imported N95 medical masks with domestic N95 versions. In this study, we aimed to determine whether these masks provide proper protection. Methods: Thirty-five participants from three healthcare institutions donned four types of masks and Quantitative Fit Tests(Portacount, USA) were performed. The order of fit test for the four types of masks was randomized, and a three-minute washout period was applied between test times(2 min 29 sec) to reduce potential error stemming from physical exhaustion. Results: There were no significant differences in the Fit Factor for the four types of masks, and there were no gender differences. However, the Fit Factor significantly differed across the three healthcare institutions (p=0.007). With eight of the 35 participants passing, the pass rate with the criteria of 100 or higher was 21%. Conclusions: The mask used in this study was a new domestic N95 medical mask, and the participants were unfamiliar with how to wear it. They reported difficulties with mask fitting. In light of a previous finding that mask fit improved with frequently used masks, wearer preferred masks, or when masks that are regularly worn are used during fit training, the fact that participants were unfamiliar with the mask used in this study is a limitation that should not be overlooked.

• 대한가정학회지
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• 제43권10호
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• pp.179-190
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• 2005

The purpose of this study was to apply the three dimensional Replica method to the fabrication of dress forms of plus-sized women to attain proper ease through draping and based on the ease to develop good torso patterns with superior fit. The results were as follows. The physical characteristics of the dress forms of plus-sized women were divided into two: Types I and 11. The proper ease was calculated through draping using dummies of each somatotype and appropriate torso patterns were developed. The differences of the types for each pattern were as follows. The bust girth ease of Type II was 6cm as for Type I. As for the bust breadth 1.0cm was added to the anterior chest width, the armpit width was the actual measurement plus 0.5cm, and the back breadth was the posterior chest width plus 2.5cm. The bust breadth was smaller and the back breadth was bigger that those of Type I after improving the bust and back fit. The bust of Type I protrudes outwards relatively and so the shoulder dart of front-side of Type I was 1.2cm bigger than that of Type II which improved the bust region fit. Considering the characteristics of the protruding abdominal region the front- side waistline of type II was assigned W/4+3.5cm and the back-side waistline W/4cm, so that the sidelines divided the front and back properly. It was drafted so that the center-front became diagonal, thereby improving the middle-hip girth fit.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.303-311
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• 2003

We consider the problem of testing cell probabilities in sparse multinomial data. Aerts, et al.(2000) presented $T_1=\sum\limits_{i=1}^k(\hat{p}_i-p_i)^2$ as a test statistic with the local polynomial estimator $(\hat{p}_i$, and showed its asymptotic distribution. When there are cell probabilities with relatively much different sizes, the same contribution of the difference between the estimator and the hypothetical probability at each cell in their test statistic would not be proper to measure the total goodness-of-fit. We consider a Pearson type of goodness-of-fit test statistic, $T=\sum\limits_{i=1}^k(\hat{p}_i-p_i)^2/p_i$ instead, and show it follows an asymptotic normal distribution.

• 한국안광학회지
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• 제5권2호
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• pp.65-72
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• 2000

콘택트렌즈 피팅후 기초검사와 베이스커브의 무작위 피팅검사, 그리고 베이스커브의 의도적인 변화에 따른 재피팅검사율 이용하여 중함수의 소프트 콘택트렌즈의 피팅과 베이스커브의 효과에 대하여 조사하였다. 시험렌즈 피팅후 렌즈의 위치, 순목후 렌즈의 움직임, 자각적 착용감을 평가하여 적합한 베이스커브를 평가한 결과 본 연구에 사용한 소재의 소프트 콘택트렌즈에서는 베이스커브가 8.4mm의 경우 최상의 피팅 효과를 보였다. 베이스커브를 8.4mm보다 큰 경우 순목후 렌즈 움직임보다 피팅후 렌즈의 중심이탈정도가 심하고 자각적 검사결과 의도적인 재피팅을 시도하였다. 다른 제조회사렌즈는 정교한 디자인과 제조상의 차이 때문에 언제나 같은 방법으로 피팅 결과가 나오는 것은 아니다. 본 실험에 사용한 중함수율 소프트콘택트렌즈는 대다수의 눈에 최적의 피팅을 제공해 주는 것은 8.4mm 베이스커브렌즈가 효과적이었다.

• 한국안전학회지
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• 제33권2호
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• pp.52-60
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• 2018

This study compares the differences of the fit factor by the order of wearing preference between Particulate filtering facepiece respirators(PFFR) and glasses when participants wore simultaneously and a survey of physical and visual complaint. Recognition level about fit of respirators was investigated and the educational (before- and after-) effect of the fit factor. When participants wore PFFR and glasses, physical complaints were nose pressure, slipping, nose and ear pressure, ear pressure and rim loosen, the most highly physical complaints were nose pressure. Visual complaints were demister, blurry vision, dizziness, visual field, and lens dirty, the most highly visual complaints were demister. But, there was significant difference in physical complaint such as nose pressure(10.3%), slipping (23.0%), nose and ear pressure(14.3%), and rim loosen(16.2%), visual complaint such as visual field(13.8%) and lens dirty(32.4%). For the recognition of fit of respirators, respirators fitness, leak site, an initial point and an object, faulty factor, recognition level was higher. Fit factor was increased after education of proper wearing of respirator. Change of the fit factor was smaller compared to the normal breathing and after 6 actions in case of after education. Questionnaire consisted of general characteristics and physical/visual complaint, recognition of fit. Complaints were measured after the QNFT with multiple choices. Quantitative fit factor was measured by device and compared the result of (before- and after-) educational effect. Also, we selected to 6 actions (Normal breathing, Deep breathing, Bending over, Turning head side to side, Moving head up and down, Normal breathing) among 8 actions OSHA QNFT (Quantitative Fit testing) protocol to measure the fit factors. The fit factor was higher after the training (p=0.000). Descriptive statistics, paired t-test, and Wilcoxon analysis were performed to describe the result of questionnaire and fit test. (P=0.05) Therefore, it is necessary to investigate the quantitative research such as training program and glasses fitting factor about the wearing of PFFR and glasses simultaneously.

• Wind and Structures
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• 제9권3호
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• pp.179-191
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• 2006

Parent wind data are often acknowledged to fit a Weibull probability distribution, implying that wind epoch maxima should fall into the domain of attraction of the Gumbel (Type I) extreme value distribution. However, observations of wind epoch maxima are not fitted well by this distribution and a Generalised Extreme Value (GEV) analysis leading to a Type III fit empirically appears to be better. Thus there is an apparent paradox. The reasons why advocates of the GEV approach seem to prefer it are briefly summarised. This paper gives a detailed analysis of the errors involved when the GEV is fitted to epoch maxima of Weibull origin. It is shown that the results in terms of the shape parameter are an artefact of these errors. The errors are unavoidable with the present sample sizes. If proper significance tests are applied, then the null hypothesis of a Type I fit, as predicted by theory, will almost always be retained. The GEV leads to an unacceptable ambiguity in defining design loads. For these reasons, it is concluded that the GEV approach does not seem to be a sensible option.

• 패션비즈니스
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• 제19권3호
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• pp.101-112
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• 2015

Because young men's slacks are becoming more slim-fitting today, this study attempts to identify room for improvement by comparing and analyzing the patterns of men's slacks in the literature and those of manufacturers. Selected for the study are two patterns from the literature and one from manufacturers (Slacks A, B, C); those from studies are slim silhouette pants with no tucking around the waist at the front. Subjects for the Fit tests and the pattern designs were men in their twenties with average body shapes in accordance with the figures in Size Korea 2010. Pants were made from muslin fabric and the Fit tests were carried out with three subjects and a panel of five experts to evaluate comfort and appearance. The analysis of the patterns revealed that Slacks A were the longest followed by C and then B. Slacks C had the most girth ease, and Slacks B were the slimmest in both length and girth. Movement tests showed Slacks A to be the most comfortable followed by B and then C. The appearance test found that Slacks B were the most attractive, followed by A, and then C. The fits at the front, back and sides of all three pants were more or less the same. We suggest that more studies be done on pants patterns adjusting them for proper ease and using elastic fabric in order to maintain the slim fit and also to be comfortable to wear.

• Journal of the Korean Statistical Society
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• 제33권3호
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• pp.313-321
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• 2004

We consider the problem of testing cell probabilities in sparse multinomial data. Aerts et al. (2000) presented T=${{\Sigma}_{i=1}}^{k}{[{p_i}^{*}-E{(p_{i}}^{*})]^2$ as a test statistic with the local least square polynomial estimator ${{p}_{i}}^{*}$, and derived its asymptotic distribution. The local least square estimator may produce negative estimates for cell probabilities. The local maximum likelihood polynomial estimator ${{\hat{p}}_{i}}$, however, guarantees positive estimates for cell probabilities and has the same asymptotic performance as the local least square estimator (Baek and Park, 2003). When there are cell probabilities with relatively much different sizes, the same contribution of the difference between the estimator and the hypothetical probability at each cell in their test statistic would not be proper to measure the total goodness-of-fit. We consider a Pearson type of goodness-of-fit test statistic, $T_1={{\Sigma}_{i=1}}^{k}{[{p_i}^{*}-E{(p_{i}}^{*})]^2/p_{i}$ instead, and show it follows an asymptotic normal distribution. Also we investigate the asymptotic normality of $T_2={{\Sigma}_{i=1}}^{k}{[{p_i}^{*}-E{(p_{i}}^{*})]^2/p_{i}$ where the minimum expected cell frequency is very small.

• 한국의류학회지
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• 제30권9_10호
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• pp.1378-1388
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• 2006

We conducted a questionnaire survey of 481 Korean female college students and measured anthropometrically 2 girth of their bodies(bust, under bust girth) in order to understand the psychological needs about brassiere and the physical characteristics of consumers aged between 19 and 25(the 1924 generation). There were two major problems to be solved to improve the fit of brassiere in aspect of size. First, most brands for this age group aimed at product differentiation mainly on visual design not on brassiere size. According to the body measurements, the distribution of brassiere size had 6 sections '70AA, 70A, 70B, 75AA, 75A and 75B cups' showing a rate of 63.8% but most brands for this age group were producing '75A, 80A, 85A, 75B, 80B and 85B cups' showing a rate of 24.7%. Second, most subjects of this survey didn't know their own breast size and the sizing system of brassiere which are necessary in order to select the proper brassiere size. And most subjects were wearing a bigger size brassiere than their own body size even though one was in the range of '75A, 80A, 85A, 75B, 80B and 85B'. It might be possible that the dimensions of brassiere products in the market and the sizes indicated on the labels do not correspond. For increasing the consumer satisfaction it is necessary to adjust the production rate of brassiere sizes and to develop ergonomic brassiere products with proper dimensions and shapes for each brassiere size.