• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.94-102
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• 2016

The purpose of this study was to investigate the effect of corporate association of sports equipment companies on brand trust, and brand loyalty. The subjects were college student and 400 data were collected and 385 of them were chosen as for final data analysis. Data analysis were conducted using frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis and structural equation modeling with SPSS 22.0 and AMOS 22.0. Based on the above study method and procedures, the results of the study are summarized as follows: First, corporate ability association and corporate social responsibility association had a positive effect on brand trust. Second, brand trust had a positive effect on brand loyalty.

• Communications for Statistical Applications and Methods
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• v.17 no.5
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• pp.697-712
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• 2010

This paper is concerned with the statistical analysis and development of stochastic models for the demand for life insurance policy loans. For these, firstly the characteristics of the regression trend, periodicity and dependence of the monthly demand for life insurance policy loans are investigated by a statistical analysis of the monthly demand data for the years 1999 through 2008. Secondly, the causal relationships between the demand for life insurance policy loans and the economic variables including unemployment rate and inflation rate for the period are investigated. The results show that inflation rate is main factor influencing policy loan demands. The overall evidence, however, failed to establish unidirectional causality relationships between the demand series and the other variables under study. Finally, based on these, univariate time series model and transfer function model where the demand series is related to one input series are derived, respectively, for the prediction of the demand for life insurance policy loans. A statistical procedure for using the model to predict the demand for life insurance policy loans is also proposed.

• Journal of Wetlands Research
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• v.18 no.2
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• pp.166-172
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• 2016

Accurate understanding of land surface is essential to analyze energy exchanges between earth surface and atmosphere. For the quantization of energy fluxes, the various researches about Land Surface Model(LSM) have been progressed. Among the various LSMs, the researches using Common Land Model(CLM) and Variable Infiltration Capacity(VIC) model are performed briskly. The CLM which is advanced LSM can calculate realistic results with few user defined parameters. The VIC model which is also typical LSM is widely used for estimation of energy fluxes and runoff in various fields. In this study, the energy fluxes which are net radiation, sensible heat flux, and latent heat flux were estimated using CLM and VIC model at Southern Sierra-Critical Zone Observatory(SS-CZO) site in California, United States. In case of net radiation and sensible heat flux, both models showed good agreement with observations, however, the CLM showed underestimated patterns of net radiation and sensible heat flux during precipitation period. In case of latent heat flux, the CLM represented better estimation of latent heat flux than VIC model which underestimated the latent heat flux. Through the estimation of energy fluxes and analysis of models' pros and cons, the applicability of CLM and VIC models and need of multi-model application were identified.

• Journal of the Korean Chemical Society
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• v.57 no.1
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• pp.147-158
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• 2013

This study is to search an optimal model on causal relationships of the motivations to learn and motivation strategy in chemistry education. The participants in this study are consisted of G and I high schools students (487) in Gwangju. They all answered to the questionnaire. Model I is hypothesized to be path model of the mediation between 'self-efficacy, achievement need, and entity theory of intelligence' and 'learning strategy and self-handicapping tendency of motivation strategy' by goal orientation to explore variables of study effecting the motivation strategy. And Model II is hypothesized path model of the mediation between goal orientation and 'learning strategy and self-handicapping tendency' by 'self-efficacy, achievement need, and entity theory' to explore variables of study effecting the motivation strategy. Based on these models, structural equation modeling techniques are used to evaluate for the path model among goal orientation(learning, performance approach, and performance approach goal orientation), self-efficacy, achievement need, entity theory of intelligence, self-handicapping tendency, and learning strategy in chemistry education. As the results, Model II is considered. Goodness-of-fit indexes of this model related modification models are identified and analyzed in phases. And this model is accomplished by correcting the model the fifth time to enhance goodness-of-fit indexes. In this optimal model II-5 (Fig. 3) on causal relationships of the motivations to learn and learning strategy (p

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.135-142
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• 2010

The convenient techniques for predicting the bus arrival time have used the data obtained from the buses belong to the same company only. Consequently, the conventional techniques have often failed to predict the bus arrival time at the downstream bus stops due to the lack of the data during congestion time period. The primary objective of this study is to overcome the weakness of the conventional techniques. The estimation model developed based on the data obtained from Bus Information System(BIS) and Bus management System(BMS). The proposed model predicts the bus arrival time at bus stops by using the data of all buses travelling same roadway section during the same time period. In the tests, the proposed model had a good accuracy of predicting the bus arrival time at the bus stops in terms of statistical measurements (e.g., root mean square error). Overall, the empirical results were very encouraging: the model maintains a prediction job during the morning and evening peak periods and delivers excellent results for the severely congested roadways that are of the most practical interest.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.1
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• pp.84-104
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• 2017

In this study, we divided Gyeonggi-do into Northern, Southern, Western, and Eastern Parts and found out fiscal variables which affected regional economic growth of each Part differentially. And we drew the strategy for economic growth of each Part. After we found out the variables which affected regional economic growth using fixed-effect model, we carried out causality test to determine whether a specific fiscal variable caused economic growth. In the Eastern Part, local tax revenues had a significant effect on the economic growth. Total expenditures, current expenditure in the Southern Part and social welfare expenditure, expenditure on industries, current expenditure in the Northern Part had noticeable effects on economic growth respectively. And we calculated multipliers of fiscal variables to compare the magnitudes of effects among these Parts.

• Journal of Navigation and Port Research
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• v.43 no.6
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• pp.469-474
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• 2019

One of the world's major resources is crude oil, the most fundamental part of the industry. There is no place that does not use crude oil. Petroleum refining products and chemical production industrial products are produced through nearby petrochemical complexes and ports after importing crude oil. There would be a possible relationship among the petrochemical complexes and nearby regional ports working with liquid cargoes. To confirm these relations, Ulsan Port, Daesan Port, and Yeosu Gwangyang Port were selected for this study. A Vector Auto Regressive model using time series data was applied. A Unit Root Test was performed. The relationship was confirmed through the Granger and Toda Yamamoto Causality Test.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.209-217
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• 2021

Although forest fires are more often triggered by artificial causes than by natural causes, the combustion conditions that spread forest fire damage over a large area are affected by natural phenomena. Therefore, using partial least squares structural equation modeling (PLS-SEM), which can analyze the dependent and causal relationships between various factors, this study evaluated the causal relationships and relative influences between forest fire, weather, and drought, taking Gangwon Province as our sample region. The results indicated that the impact of drought on forest fires was 27 % and that of the weather was 38 %. In addition, forest fires in spring accounted for about 60 % of total forest fires. This indicatesthat along with meteorological factors, the autumn and winter droughts in the previous year affected forest fires. In assessing the risk of forest fires, if severe meteorological droughts occur in autumn and winter, the probability of forest fires may increase in the spring of the following year.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.560-564
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• 2008

환경부에서는 2000년 3월에 수립 시행된 물 절약 종합대책의 실효성 확보를 위해 시도별로 "물 수요관리 종합계획"을 수립하여 환경부의 승인을 받도록 하였다. 수요관리를 위한 주요 정책 수단은 유수율제고, 절수기기 보급, 수도요금현실화, 중수도 설치, 하폐수처리수 재이용 등이며 2006년까지 서울, 제주도를 제외한 14개 시도에서 물 수요관리 종합계획을 수립하여 승인 받았다. 본 연구에서는 두 가지 측면에서 수요관리 절감량을 평가하고자 하였다. 첫 번째로는 환경부에서 시범평가에 사용하였던 수요관리 수단별 사업추진실적 평가 이외에 지자체에서 절수량을 고려하여 계획하였던 1인 1일급수량 및 유수율과 상수도통계에서 발표된 실제 1인1일급수량 및 유수율 자료를 이용하여 목표달성율을 산정하고 이를 이용해 평가하였다. 두 번째로는 통합수자원평가계획모형인 K-WEAP(Korea-Water Evaluation And Planning System) 모형을 통해 금강권역을 대상으로 사업추진실적 자료 및 절수량 산정식을 사용하여 K-WEAP 모형에서 수요관리 절수량을 산정하고 물수지분석을 수행하여 가용수량을 평가하였다. 수요관리 평가 기반이 구축된 K-WEAP 모형을 통해 여러 시나리오에 따른 수자원 절감가능량 산정 및 정부, 지자체의 수요관리 정책을 평가할 수 있으며 수요관리, 중수도 이용 등 다양한 수자원 보전환경의 변화를 용수수요 추정에 반영할 수 있다. 또한 수요관리 효과 증대방안 향상으로 국가 및 지자체 오염총량관리 계획 및 수자원장기종합계획 수립에 기술적 발전을 도모할 수 있을 것으로 기대된다.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1269-1276
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• 2004

The Parameter Estimation for software existing reliability models, Goel-Okumoto, Yamada-Ohba-Osaki model was reviewed and Rayleigh model based on Rayleigh distribution was studied. In this paper, we discusses comparison of parameter estimation using maximum likelihood estimator and Bayesian estimation based on Gibbs sampling to analysis of the estimator' pattern. Model selection based on sum of the squared errors and Braun statistic, for the sake of efficient model, was employed. A numerical example was illustrated using real data. The current areas and models of Superposition, mixture for future development are also employed.