A New Family of Odd Nakagami Exponential (NE-G) Distributions

Year 2022, Issue: 39, 19 - 41, 30.06.2022

Mathee Pongkitiwitoon İbrahim Abdullahi , Obalowa Job

https://doi.org/10.53570/jnt.1112959

Abstract

In this study, a new family of odd nakagami exponential (NE-G) distributions is introduced and investigated as a new generator of continuous distributions. Quantile, hazard rate function, moments, incomplete moments, order statistics, and entropies are only a few of the statistical features that are investigated. A unique model is presented and thoroughly examined. To estimate model parameters based on describing real-life data sets, the maximum likelihood method is applied. The bias and mean square error of maximum likelihood estimators are investigated using a comprehensive simulation exercise. Finally, the new family adaptability is demonstrated via application to real-world data sets.

Keywords

Nakagami Exponential, Order Statistics, Quantile Function, Moments

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