Bayesian analysis produces reliable parameter estimates for the Lomax-Power Rayleigh distribution using uniform and Jeffery priors.
This study presents a Bayesian analysis of the Lomax-Power Rayleigh (T-X) distribution using both uniform and Jeffery priors. Bayes estimators are derived under four different loss functions: squared error loss, quadratic loss, weighted loss, and precautionary loss. The performance of the proposed estimators is demonstrated through simulation studies and a real-world dataset. Results indicate that the quadratic loss function yields the most reliable parameter estimates.
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Ijaz et al. (2025) studied this question.
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