Investigation of scale parameter for the Weibull-Chen distribution
Within this article, we estimate the scale parameter for the Weibull-Chen distribution and calculate posterior distributions. This analysis involves the application of the Bayesian technique, which utilizes two non-informative priors along with three distinct loss functions. The aim of utilizing the...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2025-05-01
|
| Series: | Research in Statistics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27684520.2025.2507619 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Within this article, we estimate the scale parameter for the Weibull-Chen distribution and calculate posterior distributions. This analysis involves the application of the Bayesian technique, which utilizes two non-informative priors along with three distinct loss functions. The aim of utilizing these loss functions is to produce the Bayes estimators and compare their performance using simulation and real-world applications. The optimal combination of a loss function and a prior can be determined by minimizing Bayes risk and achieving the best results. |
|---|---|
| ISSN: | 2768-4520 |