Bayesian inference for the parameters of the generalized logistic distribution under a combined framework of generalized type-I and type-II hybrid censoring schemes with application to physical data
This study focuses on the Bayesian inference of parameters for the generalized logistic distribution, utilizing a combined framework of generalized type-I and type-II hybrid censoring schemes. The research addresses limitations in existing censoring methods by proposing a flexible model that enhance...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-01-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0249742 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|