Odd generalized exponential log logistic distribution: a new acceptance sampling plans based on percentiles
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Multidisciplinary Digital Publishing Institute
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Abstract. Full text article is available at http//doi.org/10.11591/ijaas.v8i3.pp176-183
In this paper, acceptance sampling plans are developed for the odd generalized exponential log logistic distribution based on percentiles when the life test is truncated at a pre-specified (pre-determined) time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.
In this paper, acceptance sampling plans are developed for the odd generalized exponential log logistic distribution based on percentiles when the life test is truncated at a pre-specified (pre-determined) time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given consumer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.
Keywords
Acceptance sampling, Consumer’s risk, OC curve, Producer’s risk, Truncated life tests, Log logistic distribution, Log logistic, Logistic Distribution, Acceptance sampling plans