In this article, we proposed a new family of generalized Nak-G distributions and study some of its statistical properties, such as moments, moment generating function, quantile function, and probability Weighted Moments. The Renyi entropy, expression of distribution order statistic, and parameters of the model are estimated by means of maximum likelihood technique. We prove, by providing three applications to real-life data, that Nakagami Exponential (Nak-E) distribution could give a better fit when compared to its competitors.
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Primary Language | English |
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Journal Section | Volume V Issue II 2020 |
Authors | |
Publication Date | October 31, 2020 |
Published in Issue | Year 2020 Volume: 5 Issue: 2 |