• Journal of the Korean Data and Information Science Society
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• 제28권1호
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• pp.207-215
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• 2017

In this paper we study pooling effects in Bayesian testing procedures of independence for contingency tables from small areas. In small area estimation setup, we typically use a hierarchical Bayesian model for borrowing strength across small areas. This techniques of borrowing strength in small area estimation is used to construct a Bayes test of independence for contingency tables from small areas. In specific, we consider the methods of direct or indirect pooling in multinomial models through Dirichlet priors. We use the Bayes factor (or equivalently the ratio of the marginal likelihoods) to construct the Bayes test, and the marginal density is obtained by integrating the joint density function over all parameters. The Bayes test is computed by performing a Monte Carlo integration based on the method proposed by Nandram and Kim (2002).

• 동력기계공학회지
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• 제17권4호
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• pp.115-119
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• 2013

The resistance spot welding of high strength steel degrades the weldability because of its high strength with rich chemical composition and coating layer to protect from corrosion. And the weld Expulsion is prone to occur and severely affect the nugget guality when the initial gap between automatic borrowing galvanied steel sheets(SGARC35) and Zn-coateel trip steels(GA580TRIP and GA980 TRIP) exist in resistance spot welding(RSW). RSW is one of the most popular welding processes used to join sheet metals. but weld guality sometimes do creases due to welding condition. in this paper to verity tue weldability using spot welding with the hemispherically concaved electrode, tensile shear strength and cross-tensile strength were measured by a universal test machine. in addition, the nugget size on cross-sectional area of the weld was observed by optical and electron microscopy. As a result, the nugget size of this specimen is increased with increasing welding current and Max load of tensile-shear strength is increased with welding current is increasing.

• 한국의류학회지
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• 제28권11호
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• pp.1415-1425
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• 2004

The purpose of this study was to analyze a theoretical frame of expressional area, the characteristics and the effects which is applied to fashion illustration by metonymic theory. The theoretical frame of expressional area was analyzed by category analysis and 150 fashion illustrations from 1900 to 1999 were analyzed by contents analysis. The results of this study were as follows: The expressions of metonymy were categorized by close-up, realistic expression, omission, borrowing of past style, simplification and deconstruction. First, close-up was presented as emphasis of small part of fashion by cutting the scenes, snapshot, emphasis, etc. Second, realistic expression was presented as description of related circumstance with fashion message through perspective and realistic description of circumstance related to figures. Third, omission was presented as seeking of essential core by removing color, pattern, texture or by omitting body and as emphasis of communication about dominant fashion message. Fourth, borrowing of past style was presented as reminding us of background of the past. Fifth, simplification was presented as using of form or color to alleviate tension of object and to restore the essential reality. Sixth, deconstruction was presented as fragmenting of image, flattening of body and clothing, weakness of form, and strength of color. In conclusion, metonymy made by experience system of thinking based on the reality, have extended expressional territory in pre-existing fashion illustration. And these ways not only will provide fashion image as illustrator's subjective intention and theoretical system of expression of message, but also will be useful way to strengthen communication for easier interpretation of fashion illustration.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.798-805
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• 2005

Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expect it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. Above factors make the sales dynamic and unstable. We develop a time series model to evaluate the sales patterns with stockpiling and short term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

• Communications for Statistical Applications and Methods
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• 제7권2호
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• pp.533-540
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• 2000

The problem of information related to I poission experiments, each having a distinct failure rate $\theta$i I=1,2,…,I, is considered. Instead of using a standard exchangeable prior for $\theta$=($\theta$1,$\theta$2,…,$\theta$I), we consider a partition of the experiments and take the $\theta$i's belonging to the same partition subgroup to be exchangeable and the $\theta$i's belonging to distinct subgroups to be independent. And we perform Gibbs sampling approach for Bayesian inference on $\theta$ conditional on a partition. Numerical study using real data is provided.

• Journal of the Korean Data and Information Science Society
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• 제12권1호
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• pp.1-9
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• 2001

In this paper, the problem of information related to I binomial experiments, each having a distinct probability of success ${\theta}_i$, i = 1,2, $\cdots$, I, is considered. Instead of using a standard exchangeable prior for ${\theta}\;=\;({\theta}_1,\;{\theta}_2,\;{\cdots},\;{\theta}_I)$, we con-sider a partition of the experiments and take the ${\theta}_i$'s belonging to the same partition subset to be exchangeable and the ${\theta}_i$'s belonging to distinct subsets to be independent. And we perform Gibbs sampler approach for Bayesian inference on $\theta$ conditional on a partition. Also we illustrate the methodology with a real data.

• 한국경영과학회지
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• 제31권2호
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• pp.157-167
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• 2006

Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expects it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. These factors make the sales dynamic and unstable. In this paper we develop a time series model to evaluate the sales patterns with stockpiling and short-term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

• Journal of the Korean Data and Information Science Society
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• 제27권1호
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• pp.245-254
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• 2016

Many surveys provide categorical data and there may be one or more missing categories. We describe a nonignorable nonresponse model for the analysis of two-way contingency tables from small areas. There are both item and unit nonresponse. One approach to analyze these data is to construct several tables corresponding to missing categories. We describe a hierarchical Bayesian model to analyze two-way categorical data from different areas. This allows a "borrowing of strength" of the data from larger areas to improve the reliability in the estimates of the model parameters corresponding to the small areas. Also we use a nonignorable nonresponse model with Bayesian uncertainty analysis by placing priors in nonidentifiable parameters instead of a sensitivity analysis for nonidentifiable parameters. We use the griddy Gibbs sampler to fit our models and compute DIC and BPP for model diagnostics. We illustrate our method using data from NHANES III data on thirteen states to obtain the finite population proportions.

• 한국의류학회지
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• 제32권6호
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• pp.902-910
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• 2008

Orientalism은 동양을 서양과는 다른 이질적 인 대상, 괴상하고 후진적이며 수동적 인 특성을 지닌 열등한 타자로 서양인의 무의식 속에 내면화되어 왔다. 아시아를 일정한 지배의 틀 속에 가두는 문화적 장치와 담론의 체계인 Orientalism은 원래 남유럽과 북아프리카를 포함한 서남아시아에 해당하는 서유럽 중심의 용어였으며, 비 서구사회는 서구문명을 수용함으로써만 발전할 수 있다는 논리의 사상이다. 따라서 이러한 용어의 무분별한 사용은 부적절하다. 또한 아시아의 이미지나 복식양식을 차용한 서구의 아시안 룩에 아시아 본래의 정신은 사라졌다고 하여도 아시아를 저급한 타자로 인식한 것에서 비롯된 것이 아니다. Asian Ethnic Look은 동양적 미학에 매료되어 동양의 이미지나 양식을 차용한 서양의 복식이므로 Orientalism의 속성과는 차이가 있다. 국내의 패션계에서는 이에 대한 분별없이 혼용하여 사용하고 있고, 특히 Orientalism Fashion 또는 Oriental Look이라고 자주 사용하고 있다. 아시아의 복식이나 이미지를 기괴하게 조작한 일부 특정한 복식만을 Orientalism Fashion 또는 Oriental Look이라 해야 하며, 이를 제외하고는 'Asian Look', 'Asian Fashion', 'Asian Ethnic Look' 등으로 바꾸어 쓰거나, 'Korean Look' 등의 개별 국가나 지역 명으로 바꾸어 쓰는 것을 분명히 해야 한다 한국을 비롯한 아시아는 서구 중심의 수동적 입장이 아니라, 세계 패션산업의 중심축 중 하나로써 세계 패션을 리드하고 있다. 이제는 우리 스스로가 서구중심의 이분법적 편견을 해체해 나가야 할 것이다.