Estimation of Power Function Distribution Parameters Using a Simulation Approach for Bivariate Type II Censored Data via Bayesian Method
DOI:
https://doi.org/10.62933/ysyjsx22Keywords:
Rook standard , Panel data, Quasi Maximum Likelihood method , The Transformation method, Comparison Criterion Mean Aboslute , Percentage Error (MAPE).Abstract
In this research, we estimated a model and parameters for the power distribution function for type II doubly censored data using simulation methods and Bayesian techniques under loss functions (Linex, Entropy) by comparing them. The results showed that the Bayesian method under Lindley's approximation with the exponential loss function (Linex) was more efficient than the Bayesian method under Lindley's approximation with the Entropy loss function. Additionally, it was found that the Bayesian method using Lindley's approximation under the entropy loss function for the parameters was more efficient than the Bayesian method using Lindley's approximation under the linex loss function, evaluated by the Mean Squared Error (MSE).
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Copyright (c) 2025 Noor Al-Safi Kazem Abdul, Baydaa Ismeal Abdul Wahhab (Author)
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