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9 a.m. - 7 p.m.
Phone: (843) 766-6635
Folly Beach Library
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Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
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Wando Mount Pleasant Library
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Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
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Mt. Pleasant Library
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McClellanville Library
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Keith Summey North Charleston Library
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John's Island Library
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Hurd/St. Andrews Library
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Miss Jane's Building (Edisto Library Temporary Location)
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Dorchester Road Library
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Phone: (843) 722-7550
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Phone: (843) 805-6930
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Reliability and the engineering applications of the generalized half-normal model via an adaptive progressive hybrid censored mechanism.
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- Author(s): Elshahhat, Ahmed; Alotaibi, Refah; Nassar, Mazen
- Source:
AIP Advances; Nov2023, Vol. 13 Issue 11, p1-18, 18p- Subject Terms:
- Source:
- Additional Information
- Abstract: Recently, the generalized half-normal distribution with decreasing, increasing, and bathtub hazard function shapes was proposed, making it a more applicable, reliable, and flexible lifespan model. The task of estimating the unknown parameters and reliability features of the generalized half-normal distribution is looked at using adaptive progressively type-II hybrid censored data. The maximum likelihood and Bayesian estimation methods are both considered for this purpose. Two approximated confidence intervals, Bayes and highest posterior density intervals, are acquired for the various parameters. The Bayes estimates are obtained based on symmetric and asymmetric loss functions under the assumption of independent gamma priors. The Markov chain Monte Carlo approach is used to compute Bayes estimates as well as the various Bayes intervals. Monte Carlo experiments are used for assessing the efficiency of the various approaches. Finally, analysis is performed on two actual-life engineering datasets. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of AIP Advances is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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