• Communications for Statistical Applications and Methods
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• v.5 no.2
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• pp.517-529
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• 1998

When the sample size is small the robust minimum Hellinger distance (HD) estimator can have substantially poor relative efficiency at the true model. Similarly, approximating the exact null distributions of the ordinary Hellinger distance tests with the limiting chi-square distributions can be quite inappropriate in small samples. To overcome these problems Harris and Basu (1994) and Basu et at. (1996) recommended using a modified HD called penalized Hellinger distance (PHD). Lindsay (1994) and Basu et al. (1997) showed that another density based distance, namely the negative exponential disparity (NED), is a major competitor to the Hellinger distance in producing an asymptotically fully efficient and robust estimator. In this paper we investigate the small sample performance of the estimates and tests based on the NED and penalized NED (PNED). Our results indicate that, in the settings considered here, the NED, unlike the HD, produces estimators that perform very well in small samples and penalizing the NED does not help. However, in testing of hypotheses, the deviance test based on a PNED appears to achieve the best small-sample level compared to tests based on the NED, HD and PHD.

• Journal of Engineering Education Research
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• v.15 no.1
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• pp.53-60
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• 2012

On the grounds of Diane Vaughan's pioneering study into the Challenger Disaster, STS(Science and Technology Studies) scholars have recently argued that most engineers seldom face an ethical situation, in which the boundary between the ethical and the unethical is absolutely clear, and for which a serious moral decision such as "whistle blowing" is urgently needed. They have instead suggested that engineering ethics needs to address engineers' everyday routine practices, which, if accumulated, may have some impact upon the overall performance of the technological system. However, such studies have not completely resolved the tension between STS that emphasizes contextual elements in which the everyday practice of engineers are done, on the one hand, and engineering ethics that stresses individual engineer's moral decision of an existential kind, on the other. By discussing various works on the Challenger Disaster and related issues over technological risks, this paper attempts to establish an interface between STS and engineering ethics, and proposes some practical implications for the effective education of engineering ethics to engineering students.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.41 no.5
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• pp.346-352
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• 2008

Yellow croaker (Larimichthys polyactis) is a major target species of large pair trawl fishery in the East China Sea. To standardize catch per unit effort (CPUE) of yellow croaker for the large pair trawl fishery, generalized linear model (GLM) was applied to evaluate and eliminate the influence of the explanatory factors (year, month, horse power and gross tonnage of vessel) on daily catches per boat collected and compiled by National Fisheries Research and Development Institute (NFRDI) from 1990 to 2007 at the fishery auction places of Busan, Masan and Incheon in Korea. Results of GLM showed that all of the factors significantly influenced on CPUE, explaining 36% of the total deviance. The standardized CPUE indicated that the abundance of yellow croaker in 2000's was 1.7 times higher than the CPUE in 1990's.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1465-1475
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• 2013

The chi-square type test statistic is the most commonly used test in terms of measuring testing goodness-of-fit for multinomial logistic regression model, which has its grouped data (binomial data) and ungrouped (binary) data classified by a covariate pattern. Chi-square type statistic is not a satisfactory gauge, however, because the ungrouped Pearson chi-square statistic does not adhere well to the chi-square statistic and the ungrouped Pearson chi-square statistic is also not a satisfactory form of measurement in itself. Currently, goodness-of-fit in the ordinal setting is often assessed using the Pearson chi-square statistic and deviance tests. These tests involve creating a contingency table in which rows consist of all possible cross-classifications of the model covariates, and columns consist of the levels of the ordinal response. I examined goodness-of-fit tests for a proportional odds logistic regression model-the most commonly used regression model for an ordinal response variable. Using a simulation study, I investigated the distribution and power properties of this test and compared these with those of three other goodness-of-fit tests. The new test had lower power than the existing tests; however, it was able to detect a greater number of the different types of lack of fit considered in this study. I illustrated the ability of the tests to detect lack of fit using a study of aftercare decisions for psychiatrically hospitalized adolescents.

• Journal of the Korean Society of Costume
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• v.47
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• pp.143-160
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• 1999

The purpose of this dissertation is to interpret fashion through a socio-cultural phenomenon called kitsch by understanding its aesthetic characteristics and clarifying its significance in the modern consumer society and analyzing the examples of kitsch appearing in modern fashion. The following are the arguments and conclusion of this dissertation. First kitsch has negative meanings such as aesthetic inadequacy or bad tastes implying vulgar popular tastes of faked sensations just imitating elite culture and using things indiscriminately for inferior reproduction or at best the philosophical and aesthetic category that expresses the mass of people's attitudes toward life in accepting the consumer culture of the industrial society. It started from the art of romanticism accompanied by th commercializing of art with the bourgeois society background formed in the mid-19th century. Though kitsch started to prevail following the socio-cultural changes caused by the Industrial Revolution in the 19th century it is only in the late 20th century that kitsch has come tc our everyday life and has become an object of aesthetic arguments. Second formative characteristics of kitsch appearin in fashion have a cumulative inadequate romantic pleasure-seeking satirizing and multicomplex nature. Third the socio-cultural meanings of kitsch appearing in fashion are as follows: The extension of commercialism which gratifies the pleasure-seeking mass consumers the enlargement of the aesthetic category by inclining to everyday commonplace aesthetic sense the expression of one's identity through the gratification of desire and the new aesthetics of resistance and deviance by an anti-traditional and anti-elite tendency towards the traditional society and aesthetic values.

• Fisheries and Aquatic Sciences
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• v.23 no.7
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• pp.19.1-19.14
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• 2020

Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using survey data from the spring and summer of 1985, 1995, and 2002. Binomial and Gaussian types of generalized additive models (GAM) and quantile generalized additive models (QGAM) revealed that egg density was influenced mostly by ocean temperature and salinity in spring, and the vertical structure of temperature, salinity, dissolved oxygen, and zooplankton biomass during summer in the upper quantiles of egg density. The GAM and QGAM model deviance explained 18.5-63.2% of the egg distribution in summer in the East and West Sea. For the principle component analysis-based GAMs, the variance explained by the final regression model was 27.3-67.0%, higher than the regular models and QGAMs for egg density in the East and West Sea. By analyzing the distribution of anchovy eggs off the Korean coast, our results revealed the optimal temperature and salinity conditions, in addition to high production and high vertical mixing, as the key indicators of the major spawning grounds of anchovies.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.567-577
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• 2019

Recently, more and more attempts have been made to solve the problems faced by academia and industry through machine learning. Accordingly, various attempts are being made to solve non-general situations through machine learning, such as deviance, fraud detection and disability detection. A variety of attempts have been made to resolve the non-normal situation in which data is distributed disproportionately, generally resulting in errors. In this paper, we propose handling method of imbalance data for machine learning. The proposed method to such problem of an imbalance in data by verifying that the population distribution of major class is well extracted. Performance Evaluations have proven the proposed method to be better than the existing methods.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.53 no.4
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• pp.317-326
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• 2017

Comparative fishing experiments were conducted in the eastern coastal waters near Uljin, Korea from 2002 to 2004, using the experimental trammel nets to estimate the selectivity for spinyhead sculpin Dasycottus setiger. The inner panels of the nets were made of nylon monofilament with four mesh sizes (82.2, 89.4, 104.8, and 120.2 mm) while its two outer panels were made of twisted nylon multifilament with a mesh size of 510 mm. The SELECT (Share Each Length's Catch Total) procedure with maximum likelihood method was applied to obtain a master selection curve. The different functional models (normal, lognormal, bi-normal, and logistic model) were fitted to the catch data. The lognormal model with the fixed relative fishing intensity was chosen as the best-fitted selection curve through comparison of model deviance and AIC (Akaike's Information Criterion). The optimum relative length (the ratio of fish total length to mesh size) with the maximum relative efficiency was obtained as 2.492.

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.147-157
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• 2017

The tourism experience factor is an essential source of competitive advantage in the tourism industry and is an important factor for predicting future tourism behavior. Tourism experience elements can be composed of areas of education, entertainment, aesthetics and deviance (Pine and Gilmore, 1998). This study examines the effect of tourist experience factors on tourist loyalty and it is meaningful to see if the experiential economic theory of Pine and Gilmore (1999) is applicable. In order to achieve the purpose of this study, we conducted a questionnaire survey on tourists using experiential tourism factors. As a result, it was found that recreational experiential factors had a significant effect on memory. Memory has a significant effect on both visitor satisfaction and tourist loyalty. This study has academic significance because it focuses on the tourism experience factor which is the core of experiential economic theory. Practical significance is that a lot of experiential contents should be found in order to better match the tourist experience factor to the requirements of visitors to the tourist site. As a result, it is expected to generate revenue and improve its competitiveness.

• Journal of Environmental Science International
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• v.30 no.10
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• pp.811-820
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• 2021

The population variation of Spanish mackerel (Scomberomorus niphonius) according to its major prey abundance was analyzed using monthly catches of coastal set net fisheries in the southern waters off Gyeongsangnam-do and eastern waters off Gyeongsangbuk-do of Korea from 2006 to 2019. The abundance of Spanish mackerel and its prey species fluctuated almost simultaneously with time lags of +2 to -2 months between the set net fisheries in the southern and eastern waters. The generalized additive model revealed that the abundance of Spanish mackerel was influenced by its prey species such as hairtail and anchovy in southern waters, and common mackerel and horse mackerel in eastern waters. The model deviance explained 49% and 42% of Spanish mackerel abundance in southern and eastern waters respectively. These results suggest that the abundance of Spanish mackerel is affected by seasonal migratory prey fish species in the coastal areas and can be linked to their northerly migration.