Exponential- Odd Inverted Dagum Distribution: Properties and Difference Estimation Methods

Abstract

An inverted distribution are significant statistical tools for analyzing real life data. In such many fields such as medical sciences, computer sciences, economics, and other real-life application. In this work, we utilize the odds-family and Inverted Dagum Distribution to construct a new model namely Exponential-Odd Inverted Dagum Distribution. A variant statistical property of this distribution. Types such as moment, moment generated mapping, hazard rate, and mean deviation are expressed. We presented various approaches, such as moment estimators, maximum likelihood estimators and Jackknife estimator, where Monte-Carlo simulations are used to determine the efficiency proposed estimator methods.