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A New Extension of the Normal Distribution
Volume 13, Issue 2 (2015), pp. 385–408
Maria do Carmo S. Lima   Gauss M. Cordeiro   Edwin M.M. Ortega  

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https://doi.org/10.6339/JDS.201504_13(2).0009
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Providing a new distribution is always precious for statisticians. A new three parameter distribution called the gamma normal distribution is defined and studied. Various structural properties of the new distribution are derived, including some explicit expressions for the moments, quantile and generating functions, mean deviations, probability weighted moments and two types of entropy. We also investigate the order statistics and their moments. Maximum likelihood techniques are used to fit the new model and to show its potentiality by means of two examples of real data. Based on three criteria, the proposed distribution provides a better fit then the skew-normal distribution.

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Keywords
Gamma distribution Maximum likelihood estimation Mean deviation Normal distribution Quantile

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