2015
DOI: 10.7232/iems.2015.14.2.183
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Sampling Plans Based on Truncated Life Test for a Generalized Inverted Exponential Distribution

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 repor… Show more

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Cited by 18 publications
(10 citation statements)
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“…Further, it has been recommended that this distribution gives a better fit than other models like Gamma, Generalized exponential, Weibull, and Inverted exponential distribution. For further details, see [9], [10] and [11]. The mean μ of GIE (γ, λ) distribution is given by:…”
Section: Generalized Inverted Exponential Distribution (Gied)mentioning
confidence: 99%
“…Further, it has been recommended that this distribution gives a better fit than other models like Gamma, Generalized exponential, Weibull, and Inverted exponential distribution. For further details, see [9], [10] and [11]. The mean μ of GIE (γ, λ) distribution is given by:…”
Section: Generalized Inverted Exponential Distribution (Gied)mentioning
confidence: 99%
“…Also, they investigated that the GIE distribution can provide a better fit than Weibull, generalized exponential, gamma, and IE distributions. The recent contributions of the GIE distribution are the studies made by Krishna and Kumar [4], Dey and Dey [5,6], Dey and Pradhan [7], Dey et al [8], Singhet al [9], Singh et al [10], and Dube et al [11].…”
Section: Introductionmentioning
confidence: 99%
“…In life testing such plans are very much useful in the situations when the units on test are highly reliable but of comparatively less cost. Many researchers have obtained group acceptance sampling plan for various lifetime distributions and one may refer to Aslam et al [11] for gamma distribution, Aslam and Jun [12] for Weibull distribution, Aslam and Jun [13] for log-logistic distribution, Aslam et al [10] for Birnbaum-Saunders distribution, and Singh et al [14] for generalized inverted exponential distribution.…”
Section: Introductionmentioning
confidence: 99%