• Journal of Preventive Medicine and Public Health
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• v.30 no.2 s.57
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• pp.413-427
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• 1997

This research is based on the Consumption Values Theory proposed by Sheth(1991). The purpose of this research is finding the factors related to the process of hospital choice. The expectation of six hospital outpatients 600 was analyzed by six consumption values categories: functional value, social value, emotional value, rarity value, condition value, health related values. The main results of this research is as following; 1. In the result of factor analysis 22 consumption value factors which affect the hospital preference were extracted; kindness/clearness, service speed, comfort of space, technical competence in functional values, high income/active social life, low income/blue collar unmarried/man, middle aged/big family, woman/married, introvert in social values, high-class, comfort, reliability in emotional value, newness, classiness in rarity value, social relationship, close to residence, social reputation in conditional values, priority on health, health behavior, active sense of value on health in health related values. 2. The difference of consumption values among hospital types were analyzed. The critical factors in reference for corporate hospitals newly established were kindness/clearness, service speed, convenience, classiness, comfort, and newness. University hospitals were preferred by the factors of reliability, and social reputation. In general hospital, convenience and close to residence were critical factor. 3. In logistic regression, age, marital status, education level and income as socio-demographic variables were significantly related to general hospital choice. Also service speed and close to residence were positively and high income/active social life and high class value were negatively related to general hospital choice. On university hospital choice, age and marital status, education show posive relationship whereas income showing negative relationship. Kindness/clearness, service speed, comfort of space, unmarried/man, comfortable feeling, newness and close to residence showed negative relationship with university hospital selection whereas technical competence, reliability in emotional value, classiness in rarity value, social relationship in functional values showed positive relationship. Lastly kindness/clearness, comfort of space, high income/active social life, unmarried/man, high-class, comfort and newness were positively related to corporate hospitals newly established choice in contrast to negative relationship in reliability in emotional value and classiness. In summary, we found that hospital user also choose to hospital in base of various consumption value. Further studies to investigate the hospital consumer behavior will be needed.

• Fashion & Textile Research Journal
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• v.17 no.6
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• pp.956-964
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• 2015

This study aims to investigate the relationship between consumers’ clothing consumption values, demographic features, and clothing disposal behaviors. The data were collected from 300 women aged between 20 and 59 through the online survey with the self-administered questionnaire. A series of exploratory and confirmative factor analysis was conducted to identify the dimensions of clothing consumption values and clothing disposition behaviors. Clothing consumption values consisted of six dimensions including conditional value, individuality value, fashion value, social value, practical value, and self-expression value. Clothing disposition behaviors were discovered as four dimensions such as discarding, giving, selling, and donating. A structural equation modeling analysis was employed to examine the relationship between clothing consumption values and disposition behaviors. While individuality value, fashion value, and practical value had a significantly positive impact on donating, giving, and discarding behaviors, both practical value and self-expression value negatively influenced discarding behavior. Fashion value negatively affected giving behavior. Employing a series of MANOVA, one-way ANOVA and sheffe's multiple range test, this study found that there were significant effects of age, marital status, monthly income, and monthly clothing expenses on giving and donating behaviors. This study suggests that fashion firms should be aware of clothing disposition in terms of social and environmental concerns and understand diverse consumer disposal behaviors and utilize them as a social marketing strategy.

• Journal of applied mathematics & informatics
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• v.8 no.1
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• pp.243-252
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• 2001

The points of failure of a decomposition process are defined to be the union of the points of failure from two component point processes for software reliability systems. Because sampling from the likelihood function of the decomposition model is difficulty, Gibbs Sampler can be applied in a straightforward manner. A Markov Chain Monte Carlo method with data augmentation is developed to compute the features of the posterior distribution. For model determination, we explored the prequential conditional predictive ordinate criterion that selects the best model with the largest posterior likelihood among models using all possible subsets of the component intensity functions. A numerical example with a simulated data set is given.

• Korean Journal of Organic Agriculture
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• v.18 no.3
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• pp.291-313
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• 2010

The objective of this paper is to apply choice experiment methods to estimate non-market value of organic farming and its policy implication. A preliminary survey shows that the attributes of organic farming are reduce environmental pollution, bio-diversity improvements, cultural diversity improvements and maintain local community, reduce green-house gas emissions, energy saving, landscape improvements and tax for organic farming improvement policy. Questionnaire was eight different choice sets presented to each respondent. Implicit values of the attributive levels of organic farming have been calculated into tax money costs per house. This paper compared the six feasible scenarios in terms of willingness to pay per year. This study is expected to contribute to government's organic farming policies and quantitative information related to practice of organic farming.

• Communications of the Korean Mathematical Society
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• v.16 no.2
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• pp.287-290
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• 2001

Let X$_1$, X$_2$, … be a sequence of independent and identically distributed random variables with continuous cumulative distribution function F(x). X(sub)j is an upper record value of this sequence if X(sub)j > max {X$_1$, X$_2$, …, X(sub)j-1}. We define u(n) = min {j│j > u(n-1), X(sub)j > X(sub)u(n-1), n $\geq$ 2} with u(1) = 1. Then F(x) = 1 - e(sup)-x/c, x > 0 if and only if E[X(sub)n(n+1) - X(sub)u(n)│X(sub)u(m) = y] = c or E[X(sub)u(n+2) - X(sub)u(n)│X(sub)u(m) = y] = 2c, n $\geq$ m+1.

• Journal of the Korean Data and Information Science Society
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• v.18 no.4
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• pp.915-925
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• 2007

Multivariate GARCH has been useful to model dynamic relationships between volatilities arising from each component series of multivariate time series. Methodologies including EWMA(Exponentially weighted moving-average model), DVEC(Diagonal VEC model), BEKK and CCC(Constant conditional correlation model) models are comparatively reviewed for bivariate time series. In addition, these models are applied to evaluate VaR(Value at Risk) and to construct joint prediction region. To illustrate, bivariate stock prices data consisting of Samsung Electronics and LG Electronics are analysed.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1531-1541
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• 2013

This paper proposes a new method of VaR forecasting using the conditional autoregressive VaR (CAViaR) models and information criteria. Instead of using a single CAViaR model, we propose to utilize several candidate CAViaR models during a forecasting period. By adopting the Akaike and Bayesian information criteria for quantile regression, we can update not only parameter estimates but also the CAViaR specifications. We also propose extended CAViaR models with a constant location parameter. An empirical study is provided to examine the performance of the proposed method. The results suggest that our method shows more stable performance than those using a single specification.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.187-199
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• 2002

When the sample size is small, exact tests are often employed because the asymptotic distribution of the test statistic is in doubt. The advantage of exact tests is that it is guaranteed to bound the type I error probability to the nominal level. In this paper we review the methods of constructing exact tests, the algorithm and commercial software. We also examine the difference between exact p-values obtained from exact tests and true p-values obtained from the true underlying distribution.

• Journal of the Korean Data and Information Science Society
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• v.10 no.1
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• pp.119-133
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• 1999

A Markov Chain Monte Carlo method is developed to compute the software reliability model. We consider computation problem for determining of posterior distibution in Bayseian inference. Metropolis algorithms along with Gibbs sampling are proposed to preform the Bayesian inference of the Mixed model with record value statistics. For model determiniation, we explored the prequential conditional predictive ordinate criterion that selects the best model with the largest posterior likelihood among models using all possible subsets of the component intensity functions. To relax the monotonic intensity function assumptions. A numerical example with simulated data set is given.

• Journal of Korean Society of Rural Planning
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• v.20 no.4
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• pp.243-252
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• 2014

This study strengthens importance of farm land has possessed rurality. Thus the amenities of farm village were offered to the symbolical attributes of rurality and it was extracted four amenities attributes for valuing the amenities. Possessing the importance of rurality for agricultural and rural development and rural tourism evaluated each attribute by Choice Experiment(CE) for sustainable development make full use of rurality. Applying for Conditional-Logit model estimated the value of attributes then consumer's benefit feeling form each attributes was offered to the value of a unit change. Through this study, I wish to apply for the direction of rural development as important material and the compensation in the operation of agricultural output offering social benefit as political reference materials.