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http://dx.doi.org/10.7469/JKSQM.2014.42.4.747

A Study on the Bayes Estimation Application for Korean Standard-Quality Excellence Index(KS-QEI)  

Kim, Tai Kyoo (Department of Business Statistics, Hannam University)
Kim, Myung Joon (Department of Business Statistics, Hannam University)
Publication Information
Journal of Korean Society for Quality Management / v.42, no.4, 2014 , pp. 747-756 More about this Journal
Abstract
Purpose: The purpose of this study is to apply the Bayesian estimation methodology for producing 'Korean Standard -Quality Excellence Index' model and prove the effectiveness of the new approach based on survey data by comparing the current index with the new index produced by Bayesian estimation method. Methods: The 'Korean Standard -Quality Excellence Index' was produced through the collected survey data by Bayesian estimation method and comparing the deviation with two results for confirming the effectiveness of suggested application. Results: The statistical analysis result shows that suggested estimator, that is, empirical Bayes estimator improves the effectiveness of the index with regard to reduce the error under specific loss function, which is suggested for checking the goodness of fit. Conclusion: Considering the Bayesian techniques such as empirical Bayes estimator for producing the quality excellence index reduces the error for estimating the parameter of interest and furthermore various Bayesian perspective approaches seems to be meaningful for producing the corresponding index.
Keywords
Korean Standard-Quality Excellence Index; Customer Satisfaction; Bayesian Estimation; Empirical Bayes Estimator;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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