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Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength

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dc.creator Rao, G. S
dc.creator Aslam, Muhammad
dc.creator Kundu, Debasis
dc.date 2020-11-24T14:09:11Z
dc.date 2020-11-24T14:09:11Z
dc.date 2015
dc.date.accessioned 2022-10-20T13:09:18Z
dc.date.available 2022-10-20T13:09:18Z
dc.identifier Rao, G. S., Aslam, M., & Kundu, D. (2015). Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength. Communications in Statistics-Theory and Methods, 44(23), 4953-4961.
dc.identifier DOI: 10.1080/03610926.2013.821490
dc.identifier http://hdl.handle.net/20.500.12661/2590
dc.identifier.uri http://hdl.handle.net/20.500.12661/2590
dc.description Abstract. Full text available at https://doi.org/10.1080/03610926.2013.821490
dc.description In this paper, we estimate multicomponent stress-strength reliability by assuming Burr-XII distribution. The research methodology adopted here is to estimate the parameter using maximum likelihood estimation. Reliability is estimated using the maximum likelihood method of estimation and results are compared using the Monte Carlo simulation for small samples. Using real data sets we illustrate the procedure clearly.
dc.language en
dc.publisher Taylor and Francis
dc.subject Burr-XII distribution
dc.subject Confidence intervals
dc.subject ML estimation
dc.subject Reliability estimation
dc.subject Stress-strength
dc.subject Parametric estimation
dc.title Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength
dc.type Article


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