• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.367-379
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• 2012

In baseball rankings, prediction has been a subject of interest for baseball fans. To predict these rankings, (based on 2011 data from Korea Professional Baseball records) the arithmetic mean method, the weighted average method, principal component analysis, and principal component regression analysis is presented. By standardizing the arithmetic average, the correlation coefficient using the weighted average method, using principal components analysis to predict rankings, the final model was selected as a principal component regression model. By practicing regression analysis with a reduced variable by principal component analysis, we propose a rank predictability model of a pitcher part, a batter part and a pitcher batter part. We can estimate a 2011 rank of pro-baseball by a predicted regression model. By principal component regression analysis, the pitcher part, the other part, the pitcher and the batter part of the ranking prediction model is proposed. The regression model predicts the rankings for 2012.

• Survey Research
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• v.9 no.2
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• pp.29-49
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• 2008

Many survey data are collected today to measure personal values and to order them according to their importance. There are two popular procedures to achieve the goal: ranking procedures and rating procedures. The ranking procedures can be divided into two categories; full ranking procedures and reduced ranking procedures. The reduced ranking procedure is more often used because of its easiness to respondents. However, the ordered responses are not generally incorporated into ordering their values. This research has studied ways to incorporate the ordered responses into ordering the values. We have considered the ranking scales as the conditional rating scales. Our findings are that the ordering values based on the weighted proportions is better than one based on the unweighted proportions.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.201-212
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• 2017

This study presented the new evaluation index which can evaluate the discrimination of DEA models. To evaluate the discrimination of DEA models, data were analyzed using importance index as suggested in previous study and the coefficient of variation as suggested in this study for the discrimination evaluation. This study selected the CCR-DEA, BCC-DEA, entropy, bootstrap, super efficiency, and cross efficiency DEA model for the discrimination evaluation and accomplished empirical analysis. In order to grasp the rank correlation of the models, this study implemented the rank correlation analysis between the efficiency of CCR model and BCC model and entropy, bootstrap, super efficiency, and efficiency of the cross efficiency model. The obtained results of this study are as follows. First, the discrimination rank of models using the importance index and the coefficient of variation was shown to be identical. Therefore, the coefficient of variation can be used the discrimination evaluation index of DEA model. Second, the discrimination of the super efficiency model was found to be the highest rank among 4 models according to the analysis of this present study. Third, the highest rank correlation with CCR model was the super efficiency model. In addition, the super efficiency model was found to be the highest rank correlation with BCC model.

• Journal of Environmental Policy
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• v.12 no.4
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• pp.23-44
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• 2013

Climate change affects human and natural environment. Many countries, including Korea, are trying to develop climate change adaptation strategies to minimize adverse impacts of climate change. To deal with climate change efficiently, decisions have to be made among many options. The objectives of this paper is to analyzes methodologies for prioritizing climate change adaptation measures. Each methodology has strength and weakness and information requirements are differ. We find multi-criteria analysis is one of useful tools considering current level of understanding on climate change adaptation. We suggest climate change risks(timing, likelihood, intensity of climate change impacts), feasibility of policy (equity, main-streaming, democracy), effectiveness (economic effectiveness, co-benefits, propagation effects) of adaptation measures as main evaluation criteria of prioritization.

• Journal of the Korea Society of Computer and Information
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• v.5 no.4
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• pp.82-89
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• 2000

This study analyzes the cell loss probability of an ATM multiplexer with real time and non-real time bursty traffics. It is assumed that an ATM multiplexer with loss priority control for the analysis. The loss priority control uses the CLP Reld of cell header. For easy analysis and less computation. the multiplexed traffic of the ATM multiplexer was modeled by the MMDP. The ATM multiplexer is simulated by the MMDP/MMDP/l/K queueing system. From the above results, The connection admission of an ATM multiplexer with loss priority control is determined by the cell loss probability with low priority as well as the size of threshold buffer. Therefore, to increase the statistical multiplexing gain it will be good to utilize the loss priority control in order.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.73-87
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• 2016

The purpose of this study is to investigate the empirical results of Analytic Hierarchy Process/Data Envelopment Analysis-Assurance Region(AHP/DEA-AR) by using multiple regression analysis during the period of 2009-2012 with 5 inputs (number of gantry cranes, number of berth, berth length, terminal yard, and mean depth) and 2 outputs (container TEU, and number of direct calling shipping companies). Assurance Region(AR) is the most important tool to measure the efficiency of seaports, because individual seaports are characterized in terms of inputs and outputs. Traditional AHP and multiple regression analysis techniques have been used for measuring the AR. However, few previous studies exist in the field of seaport efficiency measurement. The main empirical results of this study are as follows. First, the efficiency ranking comparison between the two models (AHP/DEA-AR and multiple regression) using the Wilcoxon signed-rank test and Mann-Whitney signed-rank sum test were matched with the average level of 84.5 % and 96.3% respectively. When data for four years are used, the ratios of the significant probability are decreased to 61.4% and 92.5%. The policy implication of this study is that the policy planners of Korean port should introduce AHP/DEA-AR and multiple regression analysis when they measure the seaport efficiency and consider the port investment for enhancing the efficiency of inputs and outputs. The next study will deal with the subjects introducing the Fuzzy method, non-radial DEA, and the mixed analysis between AHP/DEA-AR and multiple regression analysis.

• The Korean Journal of Financial Studies
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• v.12 no.1
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• pp.89-104
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• 2006

이 논문은 자본조달순위이론(pecking order theory)을 한국 유가증권시장에 상장된 제조기업을 대상으로 실증적 검정을 하였다. 설명변수로 기업의 자금부족(deficit)과 부채비율과의 관계를 분석한 결과 자본조달순위이론이 지지되는 결과를 얻지 못하였으며, 통제변수에 유형자산, 기업규모, 수익성 등 전통적인 자본구조영향요인 변수들을 포함시켜 분석한 결과, 정보비대칭이론에 의한 설명이 적합한 것으로 해석되었다. 유형자산이 증가할수록 부채비율은 감소하였고, 기업규모가 증가하면 레버리지가 감소하는 관계를 나타냈으며, 수익성이 증가함에 따라 부채비율이 감소하는 것으로 분석되었다. 직전년도의 부채규모가 높은 경우에는 당해 연도의 부채사용이 감소하고, 직전년도의 레버리지가 낮은 경우에는 당해 연도의 부채가 증가하는 평균회귀현상을 나타냈다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.186-188
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• 2011

본 연구는 광양항 물류산업 인프라 우선순위 분석을 위하여 Fuzzy AHP 기법을 적용하였다. 본 연구에서는 의사결정을 위한 측정요소로 수익성, 용이성, 시급성, 장래성이 선정되었고, 대안으로는 글로벌 네트워킹 구축, 물류전문인력 양성, 친환경저비용항만 운영, 전문물류기업 육성이 선정되었다. 대안의 우선순위는 글로벌네트워킹 구축, 친환경저비용항만 운영, 전문물류기업 육성, 물류전문인력 양성 순서로 나타났다.

• Proceedings of the Korean Statistical Society Conference
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• 2003.05a
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• pp.199-201
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• 2003

본 연구에서는 크리스프자료(crisp data)인 독립변수와 퍼지자료(fuzzy data)인 종속변수 사이의 관계가 특정한 함수로 표현되지 않는 비모수 퍼지회귀모형을 분석하기위하여 퍼지수 순위와 퍼지순위변환방법을 소개하고, 모의실험을 통하여 퍼지순위변환방법의 효율성을 조사한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.8
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• pp.1190-1200
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• 1993

In this work, the performance of both delay sensitive traffics and loss sensitive traffics of the output buffered ATM switch with priority control mechanisms has been evaluated. We choose the partial buffer sharing mechanism as the loss priority control mechanism and the HOL(Head Of Line) priority control mechanism as the time priority control mechanism. We model loss sensitive traffics with Poisson process and delay sensitive traffics with MMPP. With loss priority control, it is confirmed that loss probability of loss sensitive traffice decreases when the loss priority control mechanism is chosen. With time priority control, it has also been confirmed that mean cell delay of delay sensitive traffics decreases when the HOL priority control mechanism is used. From this analysis, It has been confirmed that the requirements of QOS for both loss sensitive and delay sensitive traffics can be satisfied in the ATM switch by combining both the loss priority control mechanism and the HOL priority control mechanism.