Bayesian Estimation and Prediction of Inverse Power Lomax Model Under Censored Data With Applications
This study presents a comparative analysis of frequentist and Bayesian estimation techniques for the parameters of the inverse power Lomax distribution, employing an adaptive Type-II progressive censoring approach. The maximum likelihood estimations (MLEs) and their corresponding asymptotic confiden...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/jom/7285331 |
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