Parameter Estimation for Weibull Burr Type X Model with Right Censored Data

Studies have considered generalizing statistical distributions in the past. These were aimed at making such more flexible and suitable for describing real-world phenomena. In this study, we exploring Weibull Burr Type X distribution, which extends distribution using generator. Particularly, performance of maximum likelihood estimators its parameters encompassing right censored dataset was explored compared. On with respect to bias root mean square error, Monte Carlo simulation study make a comparison varying sample sizes percentages. We illustrated usefulness potentials dataset. comparing fitness model sub-models real world The result showed that provides better fit than other competing models. This indicates is competitive. exhibits unimodal decreasing shapes. extra parameter varies model's tail weight introduces skewness into model. introduced as an alternative existing models modelling data various research fields areas study.