2011
DOI: 10.1515/eqc.2011.002
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Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions

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Cited by 12 publications
(22 citation statements)
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“…This paper only deals with the Dagum distribution to check the multiple numbers of items simultaneously by saving cost and time. The number of group obtained from the proposed plan are less than the existing group plan that indicates that the proposed plan is superior than the existing plan (stated by Aslam and Jun, 2009b) in saving cost and time truncated associated with the life tests. Further, results of the proposed plan shows that the Dagum distribution is better than the Marshall-Olkin Extended Lomax distribution at 10 th and 50 th percentile.…”
Section: Resultsmentioning
confidence: 82%
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“…This paper only deals with the Dagum distribution to check the multiple numbers of items simultaneously by saving cost and time. The number of group obtained from the proposed plan are less than the existing group plan that indicates that the proposed plan is superior than the existing plan (stated by Aslam and Jun, 2009b) in saving cost and time truncated associated with the life tests. Further, results of the proposed plan shows that the Dagum distribution is better than the Marshall-Olkin Extended Lomax distribution at 10 th and 50 th percentile.…”
Section: Resultsmentioning
confidence: 82%
“…The sampling plan under this type of tester will be called a group acceptance sampling plan under the truncated life test. According to Aslam and Jun (2009b) a sampling plan with this type of tester determines that the sample size is equivalent to determining the number of testers. If we call items in a testers as a group and then determine the required number of groups.…”
Section: Introductionmentioning
confidence: 99%
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“…The single and double group sampling plans for the sudden life testing are introduced by Jun et al (2006) for the Weibull distribution. Recently, the group sampling plan for the truncated life test is proposed by Aslam and Jun (2009a) for the inverse Rayleigh and log-logistic distributions. Aslam and Jun (2009b) proposed the group sampling plan for the Weibull distribution by considering the producer's and consumer's risks at the same time.…”
Section: Introductionmentioning
confidence: 99%