Articlebronze2015

Sampling Plans Based on Truncated Life Test for a Generalized Inverted Exponential Distribution

Sukhdev Singh · Yogesh Mani Tripathi · Chi‐Hyuck Jun

24 citations0/0 files storedIndustrial Engineering & Management Systems

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Advanced Statistical Process Monitoring Reliability and Maintenance Optimization Statistical Distribution Estimation and Applications

Abstract

In this paper, we propose a two-stage group acceptance sampling plan for generalized inverted exponential distribution under truncated life test. Median life is considered as a quality parameter. Design parameters are obtained to ensure that true median life is longer than a given specified life at certain level of consumer's risk and producer's risk. We also explore situations under which design parameters based on median lifetime can be used for other percentile points. Tables and specific examples are reported to explain the proposed plans. Finally a real data set is analyzed to implement the plans in practical situations and some suggestions are given.

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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 2009A group acceptance sampling plan for truncated life test having Weibull distribution 2005Acceptance Sampling Based on the Inverse Rayleigh Distribution 2009Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum–Saunders Distribution for Percentiles 2010Time truncated acceptance sampling plans for generalized exponential distribution 2009A Group Acceptance Sampling Plans for Lifetimes Following a Generalized Exponential Distribution 2010A double acceptance sampling plan for generalized log-logistic distributions with known shape parameters

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