• Journal of Korean Society for Quality Management
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• v.36 no.4
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• pp.102-116
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• 2008

The most widely used models to study the quality of service are the SERVQUAL and SERVPERF models that measure service mechanisms. This paper is to estimate service efficiency and consistency for Retail Industry. We tried to measure the service quality and overall satisfaction by using DEA and PCI, degree of combination and top2box which is a little bit different methodology from traditional ones. Rather than using the usual method of converting the service quality index by mean value, the Service Efficiency Index(SEI) and Service Quality Consistency Index(SQCI) are used to measure the efficiency and consistency level, which in turn can be used as the new service quality indices. The result of SEI and SQCI show the efficiency frontier in retail industry that 6 DMUs are analyzed relative efficient DMUs, 12DMUs are inefficient DMUs and retail Industry consistency level appeared low(0.35-0.47) Also, there is a significant difference in terms of efficiency and consistency in the each retail industry. Finally, we showed the summarized result as the Effi-Con Matrix.

• Journal of applied mathematics & informatics
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• v.13 no.1_2
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• pp.373-384
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• 2003

In this paper, we consider the asymptotic properties of regression quantile estimators for the nonlinear regression model when dependent variables are subject to censoring time, and propose the sufficient conditions which ensure consistency and asymptotic normality for regression quantile estimators in censored nonlinear regression model. Also, we drive the asymptotic relative efficiency of the censored regression model with respect to the ordinary regression model.

• Journal of the Korean Statistical Society
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• v.24 no.2
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• pp.507-518
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• 1995

The ordinary least squares based estiamte $S^2$ of the disturbance variance is considered in the linear regression model when the disturbances follow the first-order moving-average process. It is shown that $S^2$ is weakly consistent estimate for the disturbance varaince without any restriction on the regressor matrix X. Also, simple exact bounds on the relative bias of $S^2$ are given in finite sample sizes.

• Journal of the Korean Statistical Society
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• v.27 no.1
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• pp.101-112
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• 1998

This paper is concerned with the asymptotic properties of the least absolute deviation estimators for the nonlinear regression model when dependent variables are subject to censoring time, and proposed the simple and practical sufficient conditions for the strong consistency and asymptotic normality of the least absolute deviation estimators in censored regression model. Some desirable asymptotic properties including the asymptotic relative efficiency of proposed model with respect to standard model are given.

• Journal of the Korean Statistical Society
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• v.32 no.1
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• pp.47-64
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• 2003

In this paper, we consider the asymptotic properties of asymmetric least squares estimators for nonlinear regression models. This paper provides sufficient conditions for strong consistency and asymptotic normality of the proposed estimators and derives asymptotic relative efficiency of the pro-posed estimators to the regression quantile estimators. We give some examples and results of a Monte Carlo simulation to compare the asymmetric least squares estimators with the regression quantile estimators.

• Journal for History of Mathematics
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• v.15 no.3
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• pp.75-82
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• 2002

G$\ddot{o}$del's metamathematical program from Incompleteness to Speed-up theorems shows the necessity of ever higher systems beyond the fixed formal system and devises the relative consistency.

• Journal of Families and Better Life
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• v.31 no.1
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• pp.1-10
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• 2013

The purpose of this study was to examine the effects of teachers' responsiveness on teachers' strategies of problem behavior guidance. Teachers' responsiveness variables consisted of acceptance, sensitivity, consistency, warmth and teachers' strategies of problem behavior guidance variables consisted of positive proactive strategies, positive reactive strategies, negative reactive strategies. Subjects were 151 early childhood teachers in Seoul and Chungcheungnam-do. The collected data were analyzed using simple regression and hierarchical multiple regression. The main results of this study were as follows. Teachers' acceptance, sensitivity, consistency, warmth were positively related to teachers' positive proactive strategies and positive reactive strategies of problem behavior guidance. On the other hand, teachers' warmth was negatively related to teachers' negative reactive strategies. As results of examining relative effects of teachers' responsiveness on positive proactive strategies of problem behavior guidance, the influential variables were warmth and acceptance. The relative effects of teachers'responsiveness on positive reactive strategies of problem behavior guidance, the influential variables were sensitivity and acceptance. The relative effects of teachers' responsiveness on negative reactive strategies of problem behavior guidance, the only influential variable was warmth.

• Journal for History of Mathematics
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• v.24 no.3
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• pp.59-76
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• 2011

Starting from a collection V as a model which satisfies the axioms of NBG, we call the elements of V as sets and the subcollections of V as classes. We reconstruct the G$\ddot{o}$del's proof of the consistency of GCH and AC with the axioms of Zermelo-Fraenkel set theory by using Mostowski-Shepherdson mapping theorem, reflection principles in Tarski-Vaught theorem and Montague-Levy theorem and the fact that NBG is a conservative extension of ZF.

• Journal of Energy Engineering
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• v.11 no.4
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• pp.359-369
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• 2002

Nuclear power plant is a huge system with multidisciplinary technology. So, R & D prioritization is a not a simple task and the relative importance of each prioritization criterion is not well established. This study built a technology classification chart for nuclear power plant operation and maintenace, established the relative importance of prioritization criteria and assigned the relative importance of each technology at each level. Analytical Hierarchy Process was used for the prioritization and the result was validated with Consistency Index and outcomes of fields interview.

• Journal of Korean Society of Rural Planning
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• v.25 no.2
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• pp.35-45
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• 2019

This study revises current feasibility evaluation guideline for agricultural infrastructure improvement project considering recent changes in social and economic environment in rural area. We use an AHP(Analytic Hierarchy Process) approach to consider qualitative evaluation items in policy enforcement and balanced regional development as well as quantitative items in current economic analysis in the process of feasibility evaluation and decision making. The criteria system is composed of three level hierarchy. In the first level which consists of economic analysis, policy analysis, and regional development analysis, economic analysis was ranked top with relative weight of 0.45 and regional development analysis the lowest with 0.22. In the second level which consists of three evaluation items under policy analysis, consistency in policy enforcement, risk factors, and special evaluation factors, consistency in policy enforcement was ranked top. Finally, 13 detailed evaluation items in the third level were surveyed and ranked by using a comprehensive criticality vector. The result shows that the three most important evaluation items are 'degree of underdevelopment', 'spill-over effect of regional economy' and 'consistency with related planning and policy direction'.