• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2008.04a
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• pp.185-188
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• 2008

This paper introduces the Bootstrap method for statistical analysis of noise and vibration spectrum in aeronautic and space fields. Generally, all components of a launch vehicle and its payloads are subjected to high intensive noise and vibration environment during the lift-off phase and the ascent phase through Mach =1 and Max Q. In order to verify their survivabilities against these severe vibroacoustic environments during qualification tests and acceptance tests, it is most important to estimate the proper upper limits of the environmental condition. Although NASA has typically utilized the Normal Tolerance Limit method in deriving these levels, the reference[1] says that the Bootstrap can be also an alternative method to estimate the maximum expected environments. In this paper, a general procedure of the Bootstrap method is summarized, and it is applied to analyze acceleration power spectral density functions, which were measured during acoustic test on the upper stage of KSLV-I.

• Communications for Statistical Applications and Methods
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• v.16 no.2
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• pp.287-297
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• 2009

In terms of generalized autoregressive conditional heteroscedastic(GARCH) model, estimation of prediction interval based on likelihood is quite sensitive to distribution of error. Moveover, it is not an easy job to construct prediction interval for conditional variance. Recent studies show that the bootstrap method can be one of the alternatives for solving the problems. In this paper, we introduced the bootstrap approach proposed by Pascual et al. (2006). We employed it to Korean stock price data set.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.377-393
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• 2003

Several confidence interval estimates for the difference of two binomial proportions were introduced. Bootstrap confidence interval is also suggested. We examined the over estimation property of approximate intervals and under estimation trend of exact intervals for the difference of proportions. We compared these confidence intervals based on the average coverage probability, expected width and skewness measure. Particularly actual coverage probability were calculated by using the prior distribution of parameters. Monte Carlo simulation for small sample size is conducted. Some interesting contour plots of average coverage probability and marginal plots for several interval estimates are presented.

• Communications for Statistical Applications and Methods
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• v.17 no.2
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• pp.275-292
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• 2010

Receiver operating characteristic(ROC) curves can be used to assess the accuracy of tests measured on ordinal or continuous scales. The most commonly used measure for the overall diagnostic accuracy of diagnostic tests is the area under the ROC curve(AUC). When two ROC curves are constructed based on two tests performed on the same individuals, statistical analysis on differences between AUCs must take into account the correlated nature of the data. This article focuses on confidence interval estimation of the difference between paired AUCs. We compare nonparametric, maximum likelihood, bootstrap and generalized pivotal quantity methods, and conduct a monte carlo simulation to investigate the probability coverage and expected length of the four methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.346-346
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• 2017

기후변화에 따른 기상이변의 동시다발적인 발현은 농촌 지역의 홍수 발생 빈도를 증가시키고 있다. 현재의 기후시스템은 과거의 강우빈도를 기준으로 산정한 설계기준을 벗어나는 강우 사상을 빈번하게 발생시키므로 설계변수의 불확실성을 보다 합리적인 방법으로 정량화할 필요가 있다. 본 연구의 목적은 기후변화에 대응하여 확률론을 이용한 농업용 저수지의 홍수 취약성을 산정하는 데 있다. 먼저 홍수 취약성 해석에 필요한 과거와 미래 수문 자료를 수집하고 전처리 과정을 통해 해석에 적합한 자료로 구축하였다. 설계변수의 불확실성을 분석하기 위해 지속시간별 최대강우량, 유입 설계홍수량에 대해 부트스트랩 (bootstrap) 기법을 적용하여 자료를 재추출하였다. 부트스트 랩은 표본집단의 확률분포에 대해 가정을 하지 않고 표본집단의 통계적 특성을 이용하여 모집단의 통계적 추론을 할 수 있는 비모수적인 리샘플링 기법이다. 부트스트랩 추론은 표본집단의 추정치, 편의, 표준오차를 산정하고 신뢰구간을 추정한다. 부트스트랩 추론을 통해 산정하는 신뢰수준을 이용하여 농업용 저수지의 홍수 취약성을 산정하였다. 본 연구는 설계변수에 내재하는 불확실성을 부트스트랩 기법을 이용하여 정량화하고 확률적인 값을 가지는 홍수 취약성으로 산정하여 제시할 수 있다.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.199-204
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• 2022

This study analyzed mediating effect of job satisfaction between directors' leadership and workers' organizational commitment in senior clubs. A survey of 288 workers in Chungcheong and Daejeon was conducted. The statistical analysis methods were frequency, correlation, confirmatory factor analysis, and bootstrap. The analysis result was that directors' leadership had positive effect on workers' organizational commitment and mediating effect of job satisfaction was verified. For improving directors' leadership, it is necessary to develop various leadership education and training programs, to induce voluntary participation in the programs, and to include the participation of leadership program in facility evaluation. To advance workers' job satisfaction, we need various exchange programs with colleagues and peer groups, mentoring and rest service to manage emotional labor, and professional job education and supervision.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.645-649
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• 2022

This study verified the relationship between empowerment and job satisfaction and mediating effect of self-esteem of specialists in rehabilitation centers. We surveyed of 325 specialists in 14 centers of Deajeon and Chungnam. The analysis result is that specialists' empowerment has an positive effect on the job satisfaction and the self-esteem mediates between empowerment and job satisfaction. Considering this analysis result, we can suggest several plans to improve the job satisfaction. Firstly, in order to promote the empowerment, it is important to provide directors' positive leadership, appropriate support for the improvement of empowerment of specialists and their voluntary efforts, and development of self-leadership for voluntary work efforts and improvement of self-efficacy. Secondly, for enhancement of the self-esteem, operation of monitoring program to advance self-awareness, establishment of smooth cooperative system with colleagues, and managers' advocacy supervision is required.

• Journal of Marine Life Science
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• v.2 no.2
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• pp.70-74
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• 2017

Interleukin-1 (IL-1) is one of the proinflammatory cytokines, after IL-1 binds to IL-1RI, IL-1RacP (interleukin-1 receptor accessory protein) joins with IL-1/IL-1RI to form a complex, and leading to cell activation. IL-1RAcP is involved in immune response, stress and apoptosis. The purpose of this study was to investigate the gene expression of IL-1RAcP in red seabream (Pagrus major) exposure to low water temperature (8℃, 33 psu) and low salinity (20℃, 10 psu). Results showed that, the expression of IL-1RAcP was significantly increased in the experiment groups, such as low water temperature (8℃, 33 psu), and low salinity (20℃, 10 psu). These results suggest that IL-1RAcP was played roles in biomarker gene on the environmental stress such as low water temperature and low salinity.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.116-127
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• 2012

With the recent rapid growth in the number of people who enjoy marine and leisure activities in Korea, the marine leisure industry faces good opportunities for development. Korean brands are in between them. In this situation, new and innovative products related to an inflatable tube, which is one of the most popular marine leisure items, will help to increase sales of domestic companies and to pioneer a new market. Research methods are largely divided into 4: investigation, analysis & synthesis, development and evaluation. This paper introduces a "tube cushion" which is an inflatable tube covered by fabrics. It can be functioned at home 365 days a year as a cushion or a children's plaything. Tactile fabrics, neoprene and air-mesh, are used as the cover with a zipper, making it easy to open and close. Moreover, by putting together tubes and connecting them with snap fastener attached straps, the cushion can be transformed into a chair, a table, a tunnel, a train, and so on, serving as a creative plaything for children. With this paper, it is expected that new and innovative items differentiated from others, like this crossover tube cushion, will help to create a 'Blue Ocean' market for the marine leisure industry from the long-term perspective.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.453-462
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• 2017

Double propensity score adjustment is an analytic solution to address bias due to incomplete matching. However, it is difficult to estimate the standard error of the estimated treatment effect when using double propensity score adjustment. In this study, we propose two bootstrap methods to estimate the standard error. The first is a simple bootstrap method that involves drawing bootstrap samples from the matched sample using the propensity score as well as estimating the standard error from the bootstrapped samples. The second is a complex bootstrap method that draws bootstrap samples first from the original sample and then applies the propensity score matching to each bootstrapped sample. We examined the performances of the two methods using simulations under various scenarios. The estimates of standard error using the complex bootstrap were closer to the empirical standard error than those using the simple bootstrap. The simple bootstrap methods tended to underestimate. In addition, the coverage rates of a 95% confidence interval using the complex bootstrap were closer to the advertised rate of 0.95. We applied the two methods to a real data example and found also that the estimate of the standard error using the simple bootstrap was smaller than that using the complex bootstrap.