A New Three-Parameter Inverse Weibull Distribution with Medical and燛ngineering Applications

The objective of this article is to provide a novel extension the conventional inverse Weibull distribution that adds an extra shape parameter increase its flexibility. This addition beneficial in variety fields, including reliability, economics, engineering, biomedical science, biological research, environmental studies, and finance. For modeling real data, several expanded classes distributions have been established. modified alpha power transformed approach used implement new model. data matches better than other competing models. It appears be designed support decreasing or unimodal shaped based on parameters. Precise expressions for quantiles, moments, incomplete moment generating function, characteristic entropy expression are among determined attributes distribution. point interval estimates studied using maximum likelihood method. Simulation research conducted illustrate correctness theoretical results. Three applications medical engineering utilized model’s