• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.335-349
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• 2003

In this paper, we use Bayesian method for model selection of poisson vs. negative binomial distribution, and normal, double exponential vs. cauchy distribution. The fractional Bayes factor of O'Hagan (1995) was applied to Bayesian model selection under the assumption of noninformative improper priors for all parameters in the models. Through the analyses of real data and simulation data, we examine the usefulness of the fractional Bayes factor in comparison with intrinsic Bayes factors of Berger and Pericchi (1996, 1998).

• The Research Journal of the Costume Culture
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• v.2 no.2
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• pp.337-354
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• 1994

The main purpose of the study were to investigate a selection motive of clothing and feeling of wearing of Korean junior, high school & university students. The results were as follows; 1. For underwear, the body appearance and hygienical aspect were shown as important factors in a selection motive of clothing. And the property matter and hygienical aspect were shown as important factors in the feeling of wearing. 2. For outwear, a functionality and the psychological aspect were shown as important factors in a selection motive of clothing. And a exercise and psychological aspect were shown as important factors in the feeling of wearing. 3. For pants, the functionality was shown as an important factor in a selection motive of clothing and the exercise aspect was shown as an important factors in the feeling of wearing. For skirt. the psychological aspect was shown as an important factor in a selection motive of clothing and feeling of wearing. 4. The hygienical aspect was shown as an important factor in a selection motive and the feeling of wearing of clothing for comfort.

• The Korean Journal of Applied Statistics
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• v.25 no.5
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• pp.829-835
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• 2012

When the input features are generated by factors in a classification problem, it is more meaningful to identify important factors, rather than individual features. The $F_{\infty}$-norm support vector machine(SVM) has been developed to perform automatic factor selection in classification. However, the $F_{\infty}$-norm SVM may suffer from estimation inefficiency and model selection inconsistency because it applies the same amount of shrinkage to each factor without assessing its relative importance. To overcome such a limitation, we propose the adaptive $F_{\infty}$-norm ($AF_{\infty}$-norm) SVM, which penalizes the empirical hinge loss by the sum of the adaptively weighted factor-wise $L_{\infty}$-norm penalty. The $AF_{\infty}$-norm SVM computes the weights by the 2-norm SVM estimator and can be formulated as a linear programming(LP) problem which is similar to the one of the $F_{\infty}$-norm SVM. The simulation studies show that the proposed $AF_{\infty}$-norm SVM improves upon the $F_{\infty}$-norm SVM in terms of classification accuracy and factor selection performance.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.261-272
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• 2008

The primary research objects of this study is to evaluate an importance of supplier selection factors as an index according the level of product standardization and to present the evaluation model for supplier selection. For this purpose, this study adopts the AHP method to calculate the importance of supplier selection factors. In this study 16 factors which affect on the supplier selection decision making are classified into three factors-product supply related factor, product related factor, management ability related factor. Results also indicate that standardized products are much more dealt by means of on-line compare to customized products. It means the buyer opportunities is potentially an increase in the amount of current supplier re-evaluation, which may lead to new suppliers being considered more often.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1329-1341
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• 2006

When X and Y have independent gamma distributions, we consider the testing problem for two gamma means. We propose a solution based on a Bayesian model selection procedure to this problem in which no subjective input is considered. The reference prior is derived. Using the derived reference prior, we compute the fractional Bayes factor and the intrinsic Bayes factors. The posterior probability of each model is used as a model selection tool. Simulation study and a real data example are provided.

• PNF and Movement
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• v.10 no.4
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• pp.41-48
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• 2012

Purpose : The purpose of his study was to analyze the environmental and the medical selection factor on rehabilition hospital admission. Methods : The subjects were 107 patient and inpatients. The date were collected analyzed using the SPSS window 17.0 program. Results : General hospital select the recommendation 35.5%, medical team professionalism 18%, accessibility 16%, any others 14% appear in the rehabilitation hospital admission selection factor. Conclusion : Rehabilitation hospital admission selection factor is recommend and medical team service approach.

• ETRI Journal
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• v.40 no.5
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• pp.604-612
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• 2018

To solve the problem of unbalanced loads and the short network lifetime of heterogeneous wireless sensor networks, this paper proposes a node-selection algorithm based on energy balance and dynamic adjustment. The spacing and energy of the nodes are calculated according to the proximity to the network nodes and the characteristics of the link structure. The direction factor and the energy-adjustment factor are introduced to optimize the node-selection probability in order to realize the dynamic selection of network nodes. On this basis, the target path is selected by the relevance of the nodes, and nodes with insufficient energy values are excluded in real time by the establishment of the node-selection mechanism, which guarantees the normal operation of the network and a balanced energy consumption. Simulation results show that this algorithm can effectively extend the network lifetime, and it has better stability, higher accuracy, and an enhanced data-receiving rate in sufficient time.

• Journal of the Korean Society of Food Culture
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• v.22 no.2
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• pp.210-217
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• 2007

The purpose of this study was to elicit types of food-related lifestyle of undergraduates and to examine the relationship between each ape of food-related lifestyle and an attribute of selecting a restaurant. Self-administrated questionnaires were completed by 368 students and data were analysed by frequency, factor, reliability and canonical correlation. Five factors were obtained from factor analysis of food-related lifestyle ; Factor1 'health seeking type', Factor2 'taste seeking type', Factor3 'Popularity seeking type', Factor4 'safety seeking type', Factor5 'mood seeking type'. Restaurant selection attribute were extracted into six factors, Factor1 'taste and service', Factor2 'interior‘, Factor3 'convenient for approach', Factor4 'marketing strategy', Factor5 'food quality', Factor6 ’menu and price‘ Canonical correlation analysis showed two significant functions. Canonical function1 showed that food-related lifestyles of taste seeking type and safety seeking type were indicated to have significant positive relationships with the food qualify, taste and service in the restaurant selection attributes. Canonical function2 also showed that a significant positive relationships between health seeking type and accessibility, and a significant negative relationships between health seeking type and taste & service and between health seeking type and menu & price. Finally the result of the study provide some insight into the types of marketing stratagem that can be effectively used by operator who manage restaurant.

• Korean journal of food and cookery science
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• v.29 no.6
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• pp.637-645
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• 2013

The purpose of this study was to investigate the consumers' selection attributes of social enterprises type cafe by IPA(Importance-Performance Analysis). Data were collected through a self-administered questionnaire by 309 random consumers in several social enterprises type cafes in Seoul and Gyonggi area. The data was analyzed using SPSS windows(ver. 17.0) for descriptive analysis, t-test, one-way ANOVA and factor analysis. The importance of cafe's selection attributes were divided into five factors including 'promotion and menu', 'service quality and atmosphere', 'location', 'taste', and 'brand name'. The mean scores of importance and performance for cafe selection attributes were 4.01 and 3.68 out of 5, showing a significant difference between importance and performance. According to the IPA results of 17 selection attributes for social enterprises type cafe, the selection attributes with relatively low performance but high importance(II quadrant) was 'easy accessibility'. The factor to be improved through the IPA was accessibility factor, showing that the consumers had a low satisfaction compared to the significance of cafe's location.

• Korean Journal of Human Ecology
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• v.3 no.2
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• pp.13-26
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• 2000

The purpose of present study were to find the general trends of mate selecting factors and. marital satisfaction. concentrated on married women, to examine the difference among mate selection factors and marital satisfaction according to socio-demographic variables and Psychological variables and to analyze the effects of these variables influencing marital satisfaction. The subjects were 276 wives, living in Kwangju that having passed under S years after marriage without divorce experience. The major findings were as follows . 1. In mate selection, factor of high-degree was personality. view of value. personal relations, achievement, emotional mature. self-differentiation. degree of affection's expression. sense of humor, charms and condition of health Respondents'marital satisfaction score showed 91.75 and this score was higher than median score(62.5) 2. The external factor of mate selection showed significant difference according to degree of education. career. order. and sex-role attitude. The internal factor of mate selection showed significant difference according to degree of education, career, order, self-differentiation, self-esteem, and sex-role attitude 3. As correlating mate selectional factors to marital satisfaction, the significance appears in the mate's personality. view of value, emotional mature. personal relations. self-differentiation, condition of health. achievement. charm, sense of humor and degree of affection's expression. 4. Married women's marital satisfaction was influenced by self-esteem, personality and child's number that were explained about 38% by these variables. In conclusion, to happy marital life must be loved her own self. and above all considered internal factors like personality than external factors in mate selection.