Statistical Analysis of Alpha Power Inverse Weibull Distribution under Hybrid Censored Scheme with Applications to Ball Bearings Technology and Biomedical Data

Applications in medical technology have a massive contribution to the treatment of patients. One attractive tools is ball bearings. These balls support load application as well minimize friction between surfaces. If heavy applied bearing, there risk that may be damaged and cause bearing fail earlier. Hence, we aim study model failure times A hybrid Type-II censoring scheme recommended experimental time cost where components are following alpha power inverse Weibull distribution. one example; other resistance guinea pigs exposed dosages virulent tubercle bacilli. We use different estimation methods obtain point interval estimates unknown parameters distribution; consequently, estimating statistical functions such hazard rate survival observed. The maximum likelihood method product spacing used, addition Bayesian method, which symmetric asymmetric loss utilized. Interval estimators obtained for using three criteria: approximate, credible, bootstrap confidence intervals. performance parameters’ accomplished via simulation analysis numerical Newton–Raphson Monte Carlo Markov chains. Finally, results conclusions suitability distribution under modeling real biomedical data.