Estimation of stress–strength reliability from exponentiated inverse rayleigh distribution

Simple item page
dc.contributor.authorRao, G. S.
dc.contributor.authorMbwambo, S.
dc.contributor.authorJosephat, P. K.
dc.date.accessioned2020-03-20T06:43:02Z
dc.date.available2020-03-20T06:43:02Z
dc.date.issued2019
dc.descriptionFull Text Article. Also available at: https://www.worldscientific.com/doi/abs/10.1142/S0218539319500050en_US
dc.description.abstractThis paper considers the estimation of stress–strength reliability when two independent exponential inverse Rayleigh distributions with different shape parameters and common scale parameter. The maximum likelihood estimator (MLE) of the reliability, its asymptotic distribution and asymptotic confidence intervals are constructed. Comparisons of the performance of the estimators are carried out using Monte Carlo simulations, the mean squared error (MSE), bias, average length and coverage probabilities. Finally, a demonstration is delivered on how the proposed reliability model may be applied in data analysis of the strength data for single carbon fibers test data.en_US
dc.identifier.citationRao, G. S., Mbwambo, S., & Josephat, P. K. (2019). Estimation of stress–strength reliability from exponentiated inverse rayleigh distribution. International Journal of Reliability, Quality and Safety Engineering, 26(01), 1950005.en_US
dc.identifier.other10.1142/S0218539319500050
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2242
dc.language.isoenen_US
dc.publisherWorld Scientific Publishing Companyen_US
dc.subjectExponential inverseen_US
dc.subjectRayleigh distributionen_US
dc.subjectAsymptotic confidence intervalsen_US
dc.subjectStrength–stress modelen_US
dc.subjectBootstrap methoden_US
dc.subjectSimulation studiesen_US
dc.subjectBootstrap confidence intervals.en_US
dc.titleEstimation of stress–strength reliability from exponentiated inverse rayleigh distributionen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Josephati.pdf
Size:
243.17 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles