Generalized DUS-Bilal Distribution: Properties and Applications

In this article, we proposed a flexible version of the Bilal distribution using the generalized DUS transformation. Its properties are studied. Three methods of parameter estimation, including the maximum likelihood, Anderson-Daring, and Cramer-Von Mises techniques, are used to estimate unknown parameters. Real datasets are used to demonstrate the applicability of the proposed distribution using the three methods of parameter estimation.

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Publication Details

Journal
Progress in Applied Science and Technology
Published
2025-08-28
DOI
https://doi.org/10.60101/past.2025.259700
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Generalized DUS-Bilal Distribution: Properties and Applications

Thanasate Akkanphudit
Progress in Applied Science and Technology
Statistical Distribution Estimation and Applications
article

Generalized DUS-Bilal Distribution: Properties and Applications

Thanasate Akkanphudit
article en

Abstract

In this article, we proposed a flexible version of the Bilal distribution using the generalized DUS transformation. Its properties are studied. Three methods of parameter estimation, including the maximum likelihood, Anderson-Daring, and Cramer-Von Mises techniques, are used to estimate unknown parameters. Real datasets are used to demonstrate the applicability of the proposed distribution using the three methods of parameter estimation.

Progress in Applied Science and TechnologyVol. 15(2)
Siam University (TH)
Openalex Percentile: Top 78%
Statistical Distribution Estimation and Applications
DOIOpen Access PDFOpenAlex
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Generalized DUS-Bilal Distribution: Properties and Applications — Thanasate Akkanphudit · Progress in Applied Science and Technology (2025) | TGRS Research Map | TGRS