• 월간산업보건
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• s.108
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• pp.20-27
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• 1997

여기에서는 산업위생 분야에서 얻어지는 자료의 분포특성, 통계적 처리방법 및 평가방법에 대하여 기술한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.6
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• pp.48-53
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• 2002

품질보증 부분에서 대부분 통계적 수법들은 기지분포를 가정하여 데이터를 분석하고 있다. 예를 들면 공정능력에서는 정규분포를 가정하고 있고, 신뢰성 분석에서는 지수분포, 대수정규분포 또는 와이블분포 등을 가정하고 있다. 만약 이러한 것들이 가정하는 확률분포와 크게 편의될 때 도출된 결론은 그 유효성을 상실하게 된다. 따라서 공정이 정규분포를 하지 않는다면 정규분포에 기초한 공정능력지수의 사용은 부정확한 공정의 정보를 제시하게 된다. 이러한 문제를 해결하기 위하여 그 사례로 소표본일 경우 정규성의 유무를 Lilliefors 검정통계량으로 검정하였다. 그리고 최우추정량(MLE), 수정적률추정량(MME), 및 적률추정량(ME)을 사용하여 모수추정을 하여 그 각각의 경우에 공정능력지수로 평가하였다. 공정능력지수의 평가는 공정이 지수분포를 하는 경우에 적합한 공정능력지수($C_{pe}$)를 제안하고, 이것의 대안으로써 Pearson 시스템, Johnson 시스템 및 Burr 시스템과도 비교평가 하였다.

• 월간산업보건
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• s.28
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• pp.37-38
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• 1990

• 전기산업
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• v.6 no.1
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• pp.60-65
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• 1995

• Nuclear industry
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• v.6 no.6 s.40
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• pp.81-91
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• 1986

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.4
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• pp.47-52
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• 1999

In this paper, we develop noninformative priors that are used for estimating the reliability of stress-strength system under the Burr-type X distribution. A class of priors is found by matching the coverage probabilities of one-sided Bayesian credible interval with the corresponding frequentist coverage probabilities. It turns out that the reference prior is a first order matching prior. The propriety of posterior under matching prior is provided. The frequentist coverage probabilities are given for small samples.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.3
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• pp.512-527
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• 2013

This study examines the spatial distribution characteristics of financial industry which has been a necessary service for contemporary urban life. In particular, we analyze the spatial distribution patterns of money lending business which is considered with informal financial services as well as the spatial distribution patterns of banks which are representative of the institutional financial services. For the purpose, their density distribution patterns are explored by Kernel density analysis for both financial services in first. Moran's I coefficients are estimated for these two financial services to clarify the distintion in their geographical concentration patterns. The results of spatial autocorrelation analysis show stark differences between the center city and outskirts of the Seoul metropolitan area. Multivariate regression models are developed to explain the relationships between the spatial distributions of financial services and geographical variables. Finally, we discuss financial exclusion problem in the Metropolitan Seoul based on these spatial distribution characteristics.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.180-182
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• 2018

최근 빠르게 변화하는 산업 환경에서 뉴스 기사와 같은 비정형 데이터를 기반으로 산업 트랜드를 분석하기 위한 연구가 진행되고 있다. 뉴스와 같은 비정형 데이터를 기반으로 산업별 트랜드를 분석하기 위해서는 분석 대상 산업에 대한 많은 양의 시계열 데이터가 요구된다. 하지만, 수집된 비정형 데이터를 분류하면 산업별/기간별 일정하지 않은 데이터 분포를 보이거나, 특정 산업에 대해서는 특정 기간에 데이터가 존재하지 않은 경우가 발생하여 산업별 시계열 분석이 어려운 경우가 발생할 수 있다. 이에, 본 논문에서는 산업별/기간별 균일하지 못한 비정형 데이터의 분포를 보정하기 위한 방법으로 비정형 데이터 기반 산업간 유사도를 분석 기법을 제안한다. 산업별 유사도 분석을 위해 각 산업별 주요 키워드를 도출하고 토픽 모델링 기법을 이용하여 산업간 유사도 분석을 통해 산업별/기간별 비정형 데이터 부족현상을 보완하는 방법을 제시한다.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.3
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• pp.319-334
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• 2015

This study aims at identifying the industrial distributional characteristics of creative industry in Chungnam Province. It finds that there are 11 sectors of creative industrial in Chungnam region. In order to find out the specific characteristics of creative industry in Chungnam, it firstly carried out LQ analysis on the 11 sectors by the 16 counties of the region. It turns out that the distributional characteristics differs between county by county in terms of RCC, BQ and IG effect. These results may imply the needs of regional specific industrial development strategy by the 16 counties in Chungnam Province.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.251-271
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• 2008

Maquiladora industries have grown due to the decrease in labor costs caused by Mexico's economic crisis and the increase in possibility of Mexico's advance into North American markets caused by the NAFTA that come into effect since the 1980s and 1990s. Early Marquiladora industries have started to be located in the Northern borders of Mexico using young-female labor forces centered on the textile and electronic part industries. However, after the 1980s, the port soared, and the regional range of Maquiladora industries has also enlarged to 25 states. The most important regions of Maquiladora industries in Mexico are Chihuahua and Baja California and their cities are Ciudad Juares and Tijuana. Maquiladora industries had grown in terms of the cost of product and the employment until the end of the 1990s. However, Maquiladora industries have decreased in the cost of product and the employment since the 2000s. The regional range of Maquiladora industries has enlarged into the entire of Mexico, but most of Maquilador industries is still located in Northern border regions centered on six states. The textile industry is a representative one of Maquiladora industries and the early Maquilador industries have been focused on the textile industry. Thus, the textile industry in Maquiladora shows the same pattern as any other industries in Mexico. However, machinery and electronic part industries have been concentrated on the Northern border states and existing manufacturing zones. In terms of the change in employment by industry, machinery and electronic part industries occupied most high employment proportion and the textile industry sector was the next. The distinguished point is that service industries are growing.