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Activity Number:
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359
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #301010 |
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Title:
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Estimation of Percentage of Defective Items in Quality Control
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Author(s):
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Shui-Ching Chang*+ and Tze Fen Li
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Companies:
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Overseas Chinese Institute of Technology and Ming Dao University
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Address:
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Department of Information Management, Taichung, 407, Taiwan
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Keywords:
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generalized gamma distribution ; concave function ; life distribution ; maximum likelihood estimation ; mixture, prior probability
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Abstract:
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The generalized gamma distribution (g.g.d.) is often suggested as a life distribution because exponential, Weibull and gamma distributions are the special cases of the g.g.d.. It is difficult to assume a certain probability distribution for the life time. Hence the g.g.d. is widely used for life distribution and the random life time will find a suitable distribution within the g.g.d.. This paper is to find the defective percentage in an unclassified item for quality control. The results of a Monte Carlo simulation study with the g.g.d. (including Weibull, gamma and exponential distributions) are presented to show the accurate estimation of the defective percentages.
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