Expected Bayesian estimation based on generalized progressive hybrid censored data for Burr-XII distribution with applications
In the Bayesian estimation method for the parameters of random distributions, the process of selecting hyperparameters for the prior distributions is one of the important and complex matters that determine the efficiency of the estimation. Therefore, researchers have recently been interested in the...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2024-01-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0184910 |