Articlehybrid2013

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Gadde Srinivasa Rao · R. R. L. Kantam · Kanaparthi Rosaiah · Pratapa Reddy J

22 citations0/0 files storedElectronic journal of applied statistical analysis

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Advanced Statistical Process Monitoring Probability and Statistical Research Statistical Distribution Estimation and Applications

Abstract

In this article, acceptance sampling plans are developed for the inverse Rayleigh distribution percentiles when the life test is truncated at a pre-specified time. The minimum sample size necessary to ensure the specified life percentile is obtained under a given customer’s risk. The operating characteristic values (and curves) of the sampling plans as well as the producer’s risk are presented. Two examples with real data sets are also given as illustration.

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References

2007Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum–Saunders Distribution 2006Acceptance sampling based on truncated life tests for generalized Rayleigh distribution 2005Acceptance Sampling Based on the Inverse Rayleigh Distribution 2009Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum–Saunders Distribution for Percentiles 2010Acceptance Sampling Plans from Truncated Life Tests Based on the Log-Logistic Distributions for Percentiles

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2020New Acceptance Sampling Plans Based on Truncated Life Tests for Akash Distribution With an Application to Electric Carts Data 2017Optimal designing of multiple deferred state sampling plan for assuring percentile life under Weibull distribution 2016Acceptance Sampling Plans Based on Truncated Lifetime Tests for Transmuted Inverse Rayleigh Distribution 2014Acceptance Sampling Plans for Percentiles Based on the Exponentiated Half Logistic Distribution 2021Acceptance Sampling Plans from Life Tests Based on Percentiles of New Weibull–Pareto Distribution with Application to Breaking Stress of Carbon Fibers Data

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