Estimation of stress-strength reliability from truncated type-I generalised logistic distribution

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dc.creatorRao, G. S
dc.date2020-11-25T08:32:55Z
dc.date2020-11-25T08:32:55Z
dc.date2015
dc.date.accessioned2022-10-20T13:09:19Z
dc.date.available2022-10-20T13:09:19Z
dc.descriptionAbstract. Full text available at https://doi.org/10.1504/IJMOR.2015.070188
dc.descriptionIn this paper, we are mainly interested in estimating the stress-strength reliability R = P(Y < X) when X and Y are two independent truncated type-I generalised logistic distributions with different shape parameters but having the same scale parameters. The model arises from type-I generalised logistic distribution truncated at zero, because lifetime data is always non-negative. Assuming that the common scale parameter is known, the maximum likelihood estimators of the parameters are developed and an asymptotic confidence interval for R is obtained. Extensive simulation studies are carried out to investigate the performance of these intervals. Using real data we illustrate the procedure.
dc.identifierRao, G. S. (2015). Estimation of stress-strength reliability from truncated type-I generalised logistic distribution. International Journal of Mathematics in Operational Research, 7(4), 372-382.
dc.identifierDOI: 10.1504/IJMOR.2015.070188
dc.identifierhttp://hdl.handle.net/20.500.12661/2624
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2624
dc.languageen
dc.publisherInderscience Publishers Ltd
dc.subjectStress-strength reliability
dc.subjectStrength-stress models
dc.subjectSimulation
dc.subjectAsymptotic confidence intervals
dc.subjectTruncated type-I generalised logistic distribution
dc.subjectTTGLD
dc.subjectStress
dc.subjectReliability
dc.subjectLogistic distributions
dc.titleEstimation of stress-strength reliability from truncated type-I generalised logistic distribution
dc.typeArticle

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