On the Generalized Version of the Extended Standard \(U\)-Quadratic Distribution

This paper introduces the Generalized extended Standard U-quadratic (GeSU) distribution, an extension of the extended Standard U-quadratic (eSU) distribution, developed by incorporating an additional parameter. The GeSU distribution effectively models asymmetric data exhibiting bathtub and inverted bathtub shapes over the unit interval [0,1]. Several special cases of the proposed distribution are also derived. Key statistical properties, including moments, the moment-generating function, mean, variance, median, mode, skewness, and kurtosis, are established, along with a random number generation algorithm. The performance of maximum likelihood estimation for the parameters of the GeSU distribution is assessed through simulation studies. Furthermore, the distribution is applied to a real dataset, demonstrating a superior fit compared to the eSU, Unit-Rayleigh, and Unit-Burr XII distributions. These results highlight the flexibility and applicability of the proposed GeSU distribution in modeling unit-interval data.

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Publication Details

Journal
European Journal of Pure and Applied Mathematics
Published
2025-05-01
DOI
https://doi.org/10.29020/nybg.ejpam.v18i2.5923
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On the Generalized Version of the Extended Standard \(U\)-Quadratic Distribution

Arnulfo P. Supe, Daisy Lou L. Polestico, Idzhar Lakibul
European Journal of Pure and Applied Mathematics
Statistical Distribution Estimation and Applications
article

On the Generalized Version of the Extended Standard \(U\)-Quadratic Distribution

Arnulfo P. Supe, Daisy Lou L. Polestico, Idzhar Lakibul
article en

Abstract

This paper introduces the Generalized extended Standard U-quadratic (GeSU) distribution, an extension of the extended Standard U-quadratic (eSU) distribution, developed by incorporating an additional parameter. The GeSU distribution effectively models asymmetric data exhibiting bathtub and inverted bathtub shapes over the unit interval [0,1]. Several special cases of the proposed distribution are also derived. Key statistical properties, including moments, the moment-generating function, mean, variance, median, mode, skewness, and kurtosis, are established, along with a random number generation algorithm. The performance of maximum likelihood estimation for the parameters of the GeSU distribution is assessed through simulation studies. Furthermore, the distribution is applied to a real dataset, demonstrating a superior fit compared to the eSU, Unit-Rayleigh, and Unit-Burr XII distributions. These results highlight the flexibility and applicability of the proposed GeSU distribution in modeling unit-interval data.

European Journal of Pure and Applied MathematicsVol. 18(2)
Mindanao State University – Iligan Institute of Technology (PH), Mindanao State University (PH)
Iligan Institute of Technology, Mindanao State University, Division of Human Resource Development
Openalex Percentile: Top 91%
Statistical Distribution Estimation and Applications
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