• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.605-616
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• 2012

This article deals with the problem of testing on the common mean of several normal populations. We propose Bayesian hypothesis testing procedures for the common normal mean under the noninformative prior. The noninformative prior is usually improper and yields a calibration problem that makes the Bayes factor to be defined u to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. Simulation study and an example are provided.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1569-1579
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• 2014

This article deals with the problem of testing for the equality of the shape parameters in two inverse Weibull distributions. We propose Bayesian hypothesis testing procedures for the equality of the shape parameters under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. Simulation study and an example are provided.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.3
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• pp.267-280
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• 2011

This study examined bag purchase behaviors for male consumers based on fashion attitudes. Data research were conducted on 304 males in their 20s and 30s located in Seoul & Gyeonggi province. The SPSS 17.0 software program was used to conduct data analyses such descriptive statistics, frequency analysis, factor analysis, cluster analysis, $X^2$-test, t-test, ANOVA, and Scheffe's test as a post-hoc analysis. The results of this study were as follows: Fashion attitude was identified with four factors personality, social recognition, practicality, and dignity. Customers were segmented into three subdivisions: conspicuous, recognition of individual style, and practicality of clothing. The factors derived from the factor analysis of selection criteria included intrinsic attributes and extrinsic attributes. Males in their 30s valued the intrinsic attributes and males in their 20s valued extrinsic attributes. The group of conspicuous of clothing, valued both intrinsic and extrinsic attributes as important. The factors derived from the factor analysis of bag pursuit benefit included pursuit of fashion/economic, famous brand, quality/convenience. Males in their 20s and 30s pursued famous luxury brands and fashion attitudes had a positive relevance to the bag pursuit benefit.

• Journal of the Korean Dietetic Association
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• v.11 no.2
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• pp.137-146
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• 2005

This study was carried out to investigate the relationship between diabetic control and related factors of the practice of diet therapy which affects mostly diabetic patients’ dietary compliance. A questionnaire survey was conducted on 128 diabetic patients who had visited Internal medicine endocrinology clinic at University Medical Center of Daegu area. The questionnaires including clinical characteristics, meal regularity and food intake which shows dietary compliance, intrinsic barriers to the practice of diet therapy and knowledge of diet therapy were asked and analyzed. The factor which affects HbA1c was intrinsic barriers and HbA1c became higher as the level of intrinsic barriers was increasing. The education on diet therapy had no influence on the intrinsic barriers, but the level of knowledge on diet therapy was shown higher in the educated patients. The above results suggest that the practice of diet therapy should be leaded to develop behavioral aspects through resonable motivation on dietary compliance along with removing intrinsic barriers rather than simply providing information.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.80-82
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• 2009

The dependence of the efficiency characteristics of hydrogenated amorphous silicon single junction solar cells on the various intrinsic layer thickness has been investigate in the glass/$SnO_2$:F/p,i,n a-Si:H/Al type of amorphous silicon solar cells by cluster PECVD system. The open circuit voltage, short circuit current, fill factor and conversion efficiency have been measured under AM 1.5 condition. The result of the cell performance was improved about 8.2% due to an increase in the short circuit current.

• Journal of the Korean Statistical Society
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• v.33 no.2
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• pp.169-189
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• 2004

Under the assumption of default priors, such as noninformative priors, Bayesian model determination and parameter estimation of regression models with stationary and invertible ARMA errors are developed under exact full likelihoods. The default Bayes factors, the fractional Bayes factor (FBF) of O'Hagan (1995) and the arithmetic intrinsic Bayes factors (AIBF) of Berger and Pericchi (1996a), are used as tools for the selection of the Bayesian model. Bayesian estimates are obtained by running the Metropolis-Hastings subchain in the Gibbs sampler. Finally, the results of numerical studies, designed to check the performance of the theoretical results discussed here, are presented.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.217-225
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• 2017

This article deals with the problem of multiple hypothesis testing for the shape parameter in the generalized exponential distribution. We propose Bayesian hypothesis testing procedures for multiple hypotheses of the shape parameter with the noninformative prior. The Bayes factor with the noninformative prior is not well defined. The reason is that the most of the noninformative prior can be improper. Therefore we study the default Bayesian multiple hypothesis testing methods using the fractional and intrinsic Bayes factors with the reference priors. Simulation study is performed and an example is given.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.129-139
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• 2002

Default Bayesian method for detecting the changes in sequences of independent exponential random variates and independent Poisson random variates is considered. Noninformative priors are assumed for all the parameters in both of change models. Default Bayes factors, AIBF, MIBF, FBF, to check whether there is any change or not on each sequence and the posterior probability densities of change at each time point are derived. Theoretical results discussed in this paper are applied to some numerical data.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.5 s.153
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• pp.818-828
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• 2006

The purpose of this study was to clarify differences in the product attribute evaluation in relation to the objective knowledge, subjective knowledge and involvement of apparel. The measurement instruments were developed by researcher on the basis of previous studies in the same field. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and quota sampling using age and residential areas was employed. The data were obtained from 603 questionnaires. Data were statistically analyzed using SPSS 10 and LISREL 7.0. Major statistical methods were factor analysis, Cronbach's a coefficient, multiple regression analysis, and structural equation model analysis. The results were as follows: 1. Involvement was related to the consumer knowledge and the knowledge influenced evaluation of intrinsic attributes, social attributes, and economic attributes. 2. The dimensions of objective knowledge significantly influenced intrinsic attributes and economic attributes. The dimensions of subjective knowledge significantly influenced intrinsic attributes, social attributes and economic attributes. 3. Apparel involvement significantly influenced intrinsic attributes, social attributes and economic attributes. Consumers who have higher interest in apparel product but not in trends considered intrinsic attributes more importantly, whereas consumers who care trends considered social attribute more.

• Knowledge Management Research
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• v.14 no.2
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• pp.89-116
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• 2013

The purpose of this research was to investigate relations among empowering leadership, knowledge sharing, intrinsic motivation and trust on supervisors. In addition, the purpose of this study was to investigate if trust on supervisors would mediate the effect of empowering leadership on outcome variables. A research model and hypotheses were developed to examine the theoretical research questions. To test the model proposed, survey data from 44 companies in various industries were collected by distributing 510 questionnaires to team member. The final set of data utilized to test hypotheses included 470 responses. The empirical results of the analysis are as follow. Empowering leadership was shown to influence followers' knowledge sharing. Meantime, empowering leadership was influencing intrinsic motivation and it was positively related to followers' trust on their supervisors. Finally, trust on supervisors partially mediated between empowering leadership and outcome variables. We found that empowering leadership was an important factor in a way that it closely related to variables of organizational competency, such as knowledge sharing, intrinsic motivation and trust in organization.