A Bayesian approach to estimate the reliability P (X > Y ) utilizing an initial guess
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | A Bayesian approach to estimate the reliability P (X > Y ) utilizing an initial guess |
| 2. | Creator | Author's name, affiliation, country | Aymen Ibrahim Rawashdeh; Yarmouk University Shafiq Irshidat st, Irbid ZIP Code 21163 Jordan; Jordan |
| 2. | Creator | Author's name, affiliation, country | Mohammad Obidat; Yarmouk University Shafiq Irshidat st, Irbid ZIP Code 21163 Jordan; Jordan |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | |
| 4. | Description | Abstract | This paper presents a Bayesian approach to estimate the probability that one random variable exceeds another based on two independent Weibull-distributed random variables. The proposed methodology utilizes an initial guess of the reliability through an informative prior, which constitutes the cornerstone of the model. A Monte Carlo simulation study is conducted to compare the performance of the new estimators with both the MaximumLikelihood Estimation (MLE) and the Shrinkage estimators. The comparison is conducted with respect to the Mean Squared Error (MSE) for different values of the scale and shape parameters of the Weibull distribution using small, moderate, and large sample sizes. The proposed method outperforms the two aforementioned alternative methods. |
| 5. | Publisher | Organizing agency, location | Coordinamento SIBA - Università del Salento |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2017-04-26 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://siba-ese.unisalento.it/index.php/ejasa/article/view/17020 |
| 10. | Identifier | Digital Object Identifier | 10.1285/i20705948v10n1p294 |
| 11. | Source | Publication/conference title; vol., no. (year) | Electronic Journal of Applied Statistical Analysis; Vol 10, No 1 (2017): Electronic Journal of Applied Statistical Analysis |
| 12. | Language | English=en | en |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions | Authors who publish with EJASA agree to the Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License. |