• Journal of the Korean Data and Information Science Society
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• 제9권2호
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• pp.173-177
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• 1998

This paper presents the asymptotic relative efficiency of the nonparametric estimator relative to the parametric maximum likelihood estimator of the reliability function under the proportional hazards model of random censorship. Also we examine the efficiency loss due to censoring proportions and misson times.

• 한국인터넷방송통신학회논문지
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• 제21권3호
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• pp.143-149
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• 2021

본 논문은 자료포락분석의 핵심인 상대효율을 계산하는데 있어 길이비율 측정법을 제안하였다. 상대효율을 계산하는 유일한 방법으로 선형계획법이 알려져 왔다. 이 방법은 모든 의사결정단위들에 대한 단편적인 선형계획법을 풀어야 하는 문제점을 갖고 있었다. 본 논문에서는 단순히 입력-출력 관계를 2차원 그래프 작도로 효율적과 비효율적인 의사결정단위를 구별하고, 비효율적인 의사결정단위의 현재 달성한 효율성은 길이비율 측정법으로 구하였다. 제안된 방법을 다양한 실험사례들에 적용한 결과 선형계획법의 적용 오류로 인한 문제점도 해결할 수 있었으며, 항상 정확한 상대효율이 계산됨을 보였다. 또한, 이미 100% 효율성을 달성한 의사결정단위들을 제외하고, 단지 비효율적인 의사결정단위들에 대해서만 직선을 그려 기준 집합을 결정하고, 상대효율을 쉽게 구할 수 있었다.

• Communications for Statistical Applications and Methods
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• 제20권1호
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• pp.77-84
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• 2013

This paper deals with the relative efficiency of two kernel estimators $\hat{f}_n$ and $\hat{g}_n$ by using spherical data, as proposed by Park (2012), and Bai et al. (1988), respectively. For this, we suggest the computing flows for the relative efficiency on the 2-dimensional unit sphere. An evaluation procedure between two estimators (given the same kernels) is also illustrated through the observed data on normals to the orbital planes of long-period comets.

• 한국경영과학회지
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• 제24권4호
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• pp.95-109
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• 1999

We propose a series of methodologies that can evaluate relative efficiency of logistics units(centers) in three categories; managerial, cost, and operational efficiency. Inputs and outputs of logistics systems are first defined. Appropriate quantitative and qualitative measures for the three categories are then selected. Employed also are Analytic Hierarchy Process, Weighted Scoring Method, Stochastic Frontier Model, and Data Envelopment Analysis for the development of a comprehensive assessment scheme. Our scheme not only assesses the degree of relative efficiency of logistics units but also identify the sources of inefficiency in each unit The methodologies are applied to a large telecommunications company which operates 12 distribution centers nation wide. Relative efficiencies of the centers are compared using 1995-1997 performance data. Summarized are the level of efficiency of each distribution center for each of the three categories. The degree and sources of inefficiency of each distribution center are also discussed.

• 지식경영연구
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• 제15권2호
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• pp.147-164
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• 2014

This paper investigated the efficiency of automobile firms by using several non-parametric approaches. First, using Data Envelopment Analysis (DEA), the paper has investigated the critical factors that determine the relative efficiency of management performance in automobile companies. Second, we examined how the firm size impact on the difference of this efficiency by using Kruskl-Wallis Test. Third, by using Mann-whitney test, we also investigated the difference of the efficiency accoss existence of technological innovation activity. Finally, the paper explored the relationship between technological innovation and management efficiency by using logistic regression model. The findings of this study provided practical information for inefficient automobile firms to find benchmarking firms and strategic position to improve their efficiency. The result also provided theoretical and methodological implications for those who explore factors affecting management efficiencies. Future research directions with the limitation of the study are discussed.

• 보건행정학회지
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• 제6권2호
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• pp.91-114
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• 1996

In this research, the Data Envelopment Analysis(DEA) was applied to measure production efficiency of Public Corporation Medical Centers(PCMCs) operating in Korea. The focus of this research is triple. First, identifing convenience and usefulness of DEA to measure the relative efficiency among PCMCs. Second, assessing magnitudes of the relative efficiency for each PCMC. Third, adding insights into some factors resulting inefficiency in PCMCs. Then, in this paper technical efficiency and scale efficiency measured by DEA[introduced by Charnes, Cooper, and Rhoides(1978) and Banker, Charnes, and Cooper(1984)] were analyzed and a new separate variable was introduced which makes it possible to determine whether operations were conducted in regions of increasing, constant or decresing returns to scale(in multiple input and output situations). And a multi-factor Tobit analysis was conducted to see which variables are associated with PCMC's efficiency.

• 자원ㆍ환경경제연구
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• 제9권2호
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• pp.349-371
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• 2000

Data Envelopment Analysis model is a linear programming based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. A common measure for relative efficiency is weighted sum of outputs divided by weighted sum of inputs. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other unit. In this paper, we present the mathematical background and characteristics of DEA model, and give a short case study where we apply the DEA model to evaluate the relative efficiencies of 51 global electricity companies. The technical efficiency and scale efficiency are also to be investigated. Generating capacity and the number of employees are used for input data, and revenue, net profit and electricity sales are used for output data. We find that the companies with 100% relative efficiency are only 9 among 51 electricity companies. And the technical and scale efficiency of KEPCO is 98.7% and 78.89%, respectively. This means that the inefficiency of KEPCO is caused by the scale inefficiency. The analysis shows that the employees should be decreased by 15% at minimum to get the 100% efficiency. The result suggests that KEPCO needs the structural reform to improve the efficiency.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.805-809
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• 2006

In this paper a shrinkage estimator for the measure of dispersion of the inverse Gaussian distribution with known mean is proposed. Also we compare the relative bias and relative efficiency of the proposed estimator with respect to minimum variance unbiased estimator.

• 부동산연구
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• 제28권3호
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• pp.37-52
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• 2018

이 연구는 산업단지의 효율적 운영 방안 마련의 기초연구로 우리나라 산업단지의 상대적 효율성 수준을 측정하고, 다양한 유형별 차이를 분석하는데 목적이 있다. 이를 위해서 2017년 기준 287개의 산업단지의 생산액과 수출액을 산출변수로, 산업용지면적과 종사자수를 투입변수로 자료포락분석(Data Envelopment Analysis; DEA)을 적용하였다. 분석결과, 우리나라 산업단지의 상대적 효율성은 주로 단지유형과 운영기간에 따라 영향을 받는 것으로 분석되었다. 단지유형 측면에서는 도시첨단산업단지가 가장 높게 나타났으며, 다음으로 국가산업단지, 일반산업단지의 순으로 분석되었다. 따라서 산업단지의 효율성을 확보하기 위해서는 산업단지 업종의 첨단화와 물리적 규모의 확대가 필요할 것으로 판단된다. 또한 산업단지 운영기간이 증가함에 따라 산업단지의 상대적 효율성이 높아지고 있고, 노후산업단지의 상대적 효율성이 그렇지 않은 산업단지에 비해 높게 분석되었다. 이러한 결과는 효율성이 확보된 노후산업단지의 경우 재생의 효과가 극대화될 수 있기 때문에 노후산업단지의 재생사업 우선순위 선정에 있어 하나의 고려요소로 적용할 수 있을 것이라 판단된다.

• Journal of the Korean Statistical Society
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• 제26권4호
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• pp.467-476
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• 1997

The two-sample t-test is not expected to be optimal when the two samples are not drawn from normal populations. According to Box and Cox (1964), the transformation is estimated to enhance the normality of the tranformed data. We investigate the asymptotic relative efficiency of the ordinary t-test versus t-test applied transformation introduced by Yeo and Johnson (1997) under Pitman local alternatives. The theoretical and simulation studies show that two-sample t-test using transformed date gives higher power than ordinary t-test for location-shift models.