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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
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.
📌 3 Maddede Bu Makale
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Amaç & Hipotez: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.
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Temel Bulgular & Veri:The Renyi entropy, expression of distribution order statistic, and parameters of the model are estimated by means of maximum likelihood technique.
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Sonuç & Katkı: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.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Nak-G · Nak-E · Maximum Likelihood Estimation
Abstract
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.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Abdullahi, İ., Job, O. (2020). A new family of odd generalized Nakagami (Nak-G) distributions. Turkish Journal of Science, Cilt: 5 Sayı: 2, 85–101. https://ajindex.com/articles/1557564