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Abstract
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Article Information:
Bayesian Double Sampling Plan under Gamma-Poisson Distribution
Saminathan Balamurali, Muhammad Aslam and Chi-Hyuck Jun
Corresponding Author: Saminathan Balamurali
Submitted: October 23, 2011
Accepted: November 15, 2011
Published: April 15, 2012 |
Abstract:
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The present study proposes a Bayesian double sampling plan for the inspection of attribute quality
characteristics under the gamma-Poisson distribution. The design parameters of the proposed plan such as the
sample sizes and the acceptance numbers are determined for specified two points on operating characteristics
curve such as acceptable quality level and limiting quality level along with the corresponding producer’s and
the consumer’s risks. The optimal parameters are determined using the minimum average sample number
criteria. Extensive tables are provided for selection of parameters of the proposed plan for selected
combinations of two quality levels and the results are explained with examples.
Key words: Acceptable quality level, double sampling, gamma-Poisson distribution, limiting quality level, producer’s risk and consumer’s risk, ,
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Abstract
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Cite this Reference:
Saminathan Balamurali, Muhammad Aslam and Chi-Hyuck Jun, . Bayesian Double Sampling Plan under Gamma-Poisson Distribution. Research Journal of Applied Sciences, Engineering and Technology, (08): 949-956.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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