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

Authors : Mathee Pongkitiwitoon, Ibrahim Abdullahi, Obalowa Job

Pages : 19-41

Doi:10.53570/jnt.1112959

View : 23 | Download : 10

Publication Date : 2022-06-30

Article Type : Research

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