Double Inverse-Gaussian Distributions and Associated Inference

In order to have more flexibility, several double distributions been studied in the literature. this paper, we propose a inverse Gaussian distribution using random sign mixture transform and study its associated inferences. The maximum likelihood estimation is performed estimate parameters. Extensive simulation studies are carried out examine performance of estimators corresponding confidence intervals A real data set example presented illustrate procedure.