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Confidence limits for compliance testing using mixed acceptance criteria

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dc.contributor.author Edirisinghe, PM
dc.contributor.author Mathew, T
dc.contributor.author Peiris, TSG
dc.date.accessioned 2023-03-16T05:19:20Z
dc.date.available 2023-03-16T05:19:20Z
dc.date.issued 2020
dc.identifier.citation Edirisinghe, P. M., Mathew, T., & Peiris, T. S. G. (2020). Confidence limits for compliance testing using mixed acceptance criteria. Quality and Reliability Engineering International, 36(4), 1197–1204. https://doi.org/10.1002/qre.2623 en_US
dc.identifier.issn 1197-1204 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20737
dc.description.abstract For manufactured items sold by weight or volume, this article considers mixed acceptance criteria that put limits on the sample mean or on an upper confidence limit based on the sample mean and on the number of individual sample units that are nonconforming. For a normally distributed quality characteristic of interest, this article develops lower confidence limits for the mixed acceptance criteria applying the concept of a generalized pivotal quantity and applying a bias-corrected and accelerated parametric bootstrap. The accuracy of the confidence limits is assessed using estimated coverage probabilities, and the results are illustrated with an example. en_US
dc.language.iso en_US en_US
dc.subject BC en_US
dc.subject bootstrap en_US
dc.subject generalized pivotal quantit en_US
dc.subject generalized pivotal quantity en_US
dc.title Confidence limits for compliance testing using mixed acceptance criteria en_US
dc.type Article-Full-text en_US
dc.identifier.year 2020 en_US
dc.identifier.journal Quality and Reliability Engineering International, en_US
dc.identifier.issue 4 en_US
dc.identifier.volume 36 en_US
dc.identifier.database Quality and reliable en_US
dc.identifier.pgnos 1197-1204 en_US
dc.identifier.doi 10.1002/qre.2623 en_US


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