A Modified Gamma Model: Properties, Estimation, and Applications

Statistical methods are essential for describing, predicting, and modeling natural phenomena in numerous application areas. These helpful predicting data medicine, reliability engineering, actuarial science, other fields. This paper presents a novel, simple, fully flexible modified gamma model. The new model provides various forms of densities, including symmetric, asymmetric, unimodal, reversed-J shapes, as well bathtub-shaped failure rate, which is suitable the lifespan patients with an increased risk death. Some basic dynamic properties examined. Four estimating its parameters discussed, simulation study used to examine consistency efficiency these estimators. Finally, usefulness proposed demonstrated analysis some sets.