Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength
| dc.contributor.author | Rao, G. S | |
| dc.contributor.author | Aslam, Muhammad | |
| dc.contributor.author | Kundu, Debasis | |
| dc.date.accessioned | 2020-11-24T14:09:11Z | |
| dc.date.available | 2020-11-24T14:09:11Z | |
| dc.date.issued | 2015 | |
| dc.description | Abstract. Full text available at https://doi.org/10.1080/03610926.2013.821490 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.citation | 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. | en_US |
| dc.identifier.other | DOI: 10.1080/03610926.2013.821490 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12661/2590 | |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor and Francis | en_US |
| dc.subject | Burr-XII distribution | en_US |
| dc.subject | Confidence intervals | en_US |
| dc.subject | ML estimation | en_US |
| dc.subject | Reliability estimation | en_US |
| dc.subject | Stress-strength | en_US |
| dc.subject | Parametric estimation | en_US |
| dc.title | Burr-XII distribution parametric estimation and estimation of reliability of multicomponent stress-strength | en_US |
| dc.type | Article | en_US |