Shimaa Wasfy Sadk

Abstract Introducing new distributions is crucial for achieving more accurate fits to real-world data. In this context, many researchers have modified existing distributions by incorporating additional parameters. So a new distribution—called the Marshall-Olkin generalized extreme value distribution under linear normalization—is proposed and its parameters are estimated under type II progressive censoring by maximum likelihood estimation (MLE) and Bayesian estimation.

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