Non-Bayesian and Bayesian estimation for Lomax distribution under randomly censored with application
This paper centers on the examination of the Lomax distribution in the context Gearbox Mounting Frame of randomly censored data.Our primary objectives include deriving maximum likelihood estimators and constructing confidence intervals based on the Fisher information matrix for the unknown parameters in the context of randomly censored data.Further