• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.359-364
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• 1999

Providing the reasonable construction cost at the initial stage of the rural development project, is a kety factor of the each step of project , such as propriety analysis , cost planning , design, and planning the progress of work. The explainable construction cost can be estimated at the early stage using the actual cost data by statistical analysis. In this study, the influence factors are extracted by factor analysis with the actual cost data of rural development project, object cost model is developed by multiple regression analysis, and verify the developed cost model by Monte-Carlo simulation .

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.218-219
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• 2014

The selection of an appropriate contract method is vital for the successful operation of the project. However, there has been a lack of studies on objective decision making support models for use in the planning stage of a project contract. The present study had the goal of analyzing the factors that influence contract method selection, as an initial study for developing a project contract method selection model. The existing related studies were analyzed, and the factors considered in the literature were selected. Then, based on the findings, the opinions of an expert group on the important factors for contract method selection were collected through a survey. The collected opinions were analyzed using factor analysis, a statistical analysis method. The results will be utilized in the future as preliminary data for developing a decision making model for selecting a contract method.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.132-137
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• 2002

The quality improvement methodology Six Sigma gained enormous international popularity in the past few years, mainly due to its successful implementation at General Electric. Six Sigma is now commonly understood not only as a statistical measure for process performance (6$\sigma$ stands for 3.4 defects per million opportunities) to improve product quality but it has also become a strategic initiative undertaken by many organisations to improve management quality. In the centre of the Six Sigma methodology is the improvement project, often referred to as Black Belt or Green Belt project. Although every business is different and business priorities differ from company to company, however all businesses face the same problem when it comes to Six Sigma projects: How to choose the right project\ulcorner This article intends to provide some answers to this and other frequently asked questions about Six Sigma projects.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.721-728
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• 2007

The prediction of quality characteristics during the design phase of a construction project was fragmented, because no particular method exists. One of the most important key responses is the total displacements (horizontal and vertical). A brainstorming session produces the quality parameters i.e. the control factors which here are identified as: the steel joint, the pile's length, the excavation depth and angle, the distance between the piles, the anchor stretch and length to name just some of the most engaging in the design. The purpose of this study is to optimise these parameters to minimize the total displacements following a methodology based on Taguchi method. For this reason, a 2-level, L₈ orthogonal array has been employed to organize the experimentation. Data is obtained from a real-life excavation project designed on the Plaxis v.8 CAE package. Taguchi analysis is performed in the statistical package Minitab.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.914-919
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• 2009

The research investigates for the relationship between the operating performances of the make-ready process and project production performance. To this end, the researchers proposed a metric of PCR (Percentage of Constraint Removal) to measure the make-ready performance. The study measured the production performance in two ways: production planning reliability and progress performance. We hypothesized that how well the make-ready process is performed has an impact on the degree of production performance. The statistical analyses are used to investigate that how operating performance of the make-ready process affects project production performance. The results of the regression analysis support our hypotheses (p<0.25) and correlation coefficients for the relationship between project production performance and make-ready performance are also significant (p<0.05).

• The Journal of the Korean dental association
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• v.54 no.11
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• pp.880-896
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• 2016

The comparison of the repeated measurements is often needed to see whether they agree sufficiently, when a measurement is repeated under identical conditions by different raters. Such investigations are often analyzed inappropriately, by using correlation coefficient. The purpose of this study is to introduce statistical methods for accessing the agreement of the repeated measurements, which include Bland-Altman plot, intra class correlation, Passing-Bablok regression and Cohen's kappa coefficient, and to show how to execute them using examples.

• Proceedings of the Korean Statistical Society Conference
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• 2001.11a
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• pp.149-153
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• 2001

본 논문은 microarray를 분석하기위한 표준화에 대한 여러 방법들을 소개하고 비교해보았다. Microarray 연구는 Human Genome Project에서 파생된 여러 생명공학 기술 중 가장 널리 사용되는 기술로 기존에는 하지 못했던 총체적인 유전자의 발현상황을 탐색할 수 있다는 장점을 지니고 있으나, 자료들에 일정한 패턴이 나타나거나 잡음이 첨가되어 정보의 추출이 용의하지 않다는 단점을 지니고 있다. 특히 자료에 일정한 패턴이 있는 경우에 올바르지 못한 결론을 이끌어낼 수도 있기에 이 패턴을 제거하는 표준화작업은 microarray 분석에 있어서 매우 중요한 처리과정이다. 본 논문에서는 표준화방법들을 소개하고 각각 가지고 있는 장단점을 실제 국내에서 얻어진 자료를 통해 비교하였고, 그 결과 LOWESS 적합을 통한 표준화방법이 타 방법에 비해 유용한 점이 많음을 확인할 수 있었다.

• Proceedings of the Korean Statistical Society Conference
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• 2005.11a
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• pp.13-17
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• 2005

In recent years, many people use R as a statistics system. R is frequently updated by many R project teams. We are interested in the method of multiple outlier detection and know that R is not supplied the method of multiple outlier detection. In this talk, we review these procedures for detecting multiple outliers and provide more efficient procedures combined with direct methods and indirect methods using R.

• Communications for Statistical Applications and Methods
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• v.19 no.6
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• pp.859-868
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• 2012

Due to a rapidly aging society, the future Korea mortality rate is important for planning national financial strategies and social security policies. Old age mortality statistics are very limited in their ability to project a future mortality rate; therefore, it is essential to accurately estimate the old age mortality rate. In this paper, we show that the CK model with a Relational model as a base model provides accurate estimates of old age mortality rates.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.247-260
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• 2017

Purpose: The study is aimed to identify the national cultural dimensions that are affecting the quality management (QM) maturity level and the project quality performance, and analyze their relationships. Methods: This study collected the data of QM Maturity level based on Crosby's QM maturity model and the project quality performance using the Iron Triangle (Quality, Time/Schedule and Cost) from the employees who are participating in the ITER Project across the major 8 countries (China, France, Italy, Japan, Korea, Russia, U.K. and U.S.A.). Three research hypotheses are proposed concerning the national cultural dimensions in this study and Hofstede's five cultural dimensions framework are used for the statistical test. Results: The results are two folds in the study: First, there is a significant positive correlation between the QM maturity level and the project quality performance. Second, three cultural dimensions (Collectivism, Large Power Distance and Strong Uncertainty Avoidance) and five cultural dimensions (Collectivism, Large Power Distance, Strong Uncertainty Avoidance, Feminity and Long Term Orientation) have a positive impact on the QM maturity level and the project quality performance respectively. Conclusion: From the results, the understanding and consideration of the culture difference among the countries participating International Collaboration R&D project are recommended.