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Cost-Effective Life Test Acceptance Sampling Plans for Generalized Exponential Distribution

Jyoti Divecha, D P Raykundaliya

Abstract


Life test sampling plans requiring minimum sample size are desirable in industries for lot of quality assurance. Such plans have been proposed by making use of the past information for the Weibull distributed lifetimes. Other than Weibull, in many situations, lifetimes are positively skewed and fit the generalized exponential distribution well. In this paper, we present life test sampling plans requiring minimum sample size when lifetimes follow the generalized exponential distribution. We provide tables for the selection of appropriate life test sampling plan with respect to the choices of the producer’s and consumer’s risks. We also explain their applications on real life examples. R code used for estimation of plan parameters and acceptance probabilities is given in appendix.


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References


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