Comparison of the estimators of Weibull distribution parameters for fuzzy Liver Cirrhosis data using the Maximum likelihood and Bayesian methods
DOI:
https://doi.org/10.31272/jae.i150.1463Keywords:
Bayesian Methods, Fuzzy Liver Cirrhosis D, Maximum Likelihood, Weibull Distribution ParametersAbstract
This study investigates and compares the estimators of the Weibull distribution parameters for fuzzy data derived from the survival time of liver cirrhosis patients using the Maximum likelihood and Bayesian methods. The fuzzy data were transformed into conventional data using the trigonometric function. The results demonstrated that the Bayesian method outperformed the Likelihood method in achieving accurate and stable estimates compared to the probability method. The results showed that the Bayesian method outperformed the probability method with increasing cutoff level, while the performance of the maximum likelihood method fluctuated, achieving its best results at a cutoff level of 0.3.
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