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Incremental Effect Modeling of Categorical Data Using Logistic Regression
안해일 한국산업경영시스템학회 2014 한국산업경영시스템학회 학술대회 Vol.2014 No.춘계
In this paper, we have considered the modeling and analyses of categorical data. We modeled binary data with categorical predictors, using logistic regression to develop a statistical method. We found that ANOVA-type analyses often performed unsatisfactory, even when using arcsine-square-root transformations. We concluded that such methods are not appropriate, especially in cases where the fractions were close to 0 or 1. The logistic transformation of fraction data could be a promising alternative, but it is not desirable in the statistical sense. The major purpose of this paper is to demonstrate that logistic regression with an ANOVA-model like parameterization aids our understanding and provides a somewhat different, but sound, statistical background. We examined a simple real-world example to show that we can efficiently test the significance of regression parameters, look for interactions, estimate confidence intervals, and calculate the difference between the mean values of the referent and experimental subgroups. This paper demonstrates that precise confidence interval estimates can be obtained using the proposed ANOVA-model like approach. The method discussed here can be extended to any type of fraction data analysis, particularly for experimental design.
안해일 한국산업경영시스템학회 2012 한국산업경영시스템학회 학술대회 Vol.2012 No.춘계
In this paper, an attempt is given to the problem of short-term forecasting of domestic demand for mineral water in Korean market. The seasonal regression models are taken into consideration in model building and in making the forecast. As it turned out, the model performance is satisfactory for the use of production planning. A modeling procedure as well as a few fitted models are presented in some detail in order to discuss on the modeling procedure and forecasting performance.
안해일 서경대학교 산업기술연구소 2011 産業技術硏究所論文集 Vol.27 No.-
In this paper, an attempt is given to the problem of short-term forecasting of domestic demand for mineral water in Korean market. The seasonal regression models are taken into consideration in model building and in making the forecast. As it turned out, the model performance is satisfactory for the use of production planning. A modeling procedure as well as a few fitted models are presented in some detail in order to discuss on the modeling procedure and forecasting performance.
안해일 서경대학교 산업기술연구소 2010 産業技術硏究所論文集 Vol.24 No.-
For the last two decades, remanufacturing has drawn attention for its expected economic and environmental benefits and becomes a matter of strategic importance not only for manufacturers, but also for nations, as can be seen in such advanced countries as the US and some other European countries. In light of the experiences of those countries, it is highly recommended that Korean manufacturing companies as well as the government take into consideration the remanufacturing of their products, with a view to making contribution to global society by reducing the carbon-foot-prints of their products. This paper shows that the implications of remanufacturing the laser multi-function peripherals(MFPs) can provide with a good start in discussing and implementing the concept of remanufacturing a variety of different industrial products.