| dc.creator |
Rao, G. S |
|
| dc.date |
2020-11-25T08:32:55Z |
|
| dc.date |
2020-11-25T08:32:55Z |
|
| dc.date |
2015 |
|
| dc.date.accessioned |
2022-10-20T13:09:19Z |
|
| dc.date.available |
2022-10-20T13:09:19Z |
|
| dc.identifier |
Rao, G. S. (2015). Estimation of stress-strength reliability from truncated type-I generalised logistic distribution. International Journal of Mathematics in Operational Research, 7(4), 372-382. |
|
| dc.identifier |
DOI: 10.1504/IJMOR.2015.070188 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2624 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2624 |
|
| dc.description |
Abstract. Full text available at https://doi.org/10.1504/IJMOR.2015.070188 |
|
| dc.description |
In this paper, we are mainly interested in estimating the stress-strength reliability R = P(Y < X) when X and Y are two independent truncated type-I generalised logistic distributions with different shape parameters but having the same scale parameters. The model arises from type-I generalised logistic distribution truncated at zero, because lifetime data is always non-negative. Assuming that the common scale parameter is known, the maximum likelihood estimators of the parameters are developed and an asymptotic confidence interval for R is obtained. Extensive simulation studies are carried out to investigate the performance of these intervals. Using real data we illustrate the procedure. |
|
| dc.language |
en |
|
| dc.publisher |
Inderscience Publishers Ltd |
|
| dc.subject |
Stress-strength reliability |
|
| dc.subject |
Strength-stress models |
|
| dc.subject |
Simulation |
|
| dc.subject |
Asymptotic confidence intervals |
|
| dc.subject |
Truncated type-I generalised logistic distribution |
|
| dc.subject |
TTGLD |
|
| dc.subject |
Stress |
|
| dc.subject |
Reliability |
|
| dc.subject |
Logistic distributions |
|
| dc.title |
Estimation of stress-strength reliability from truncated type-I generalised logistic distribution |
|
| dc.type |
Article |
|