A flexible extension of the unit upper truncated Weibull distribution: Statistical analysis with applications on geology, engineering, and radiation Data

A new extension of the unit upper truncated Weibull (UUTW) probability distribution termed power upper truncated probability distribution (PUTWD) has been developed through power transformation to address the limitations of the existing statistical distributions in capturing complex data patterns. The study derives key statistical properties for the PUTWD. Furthermore, parameter estimation is conducted using various methods. Monte Carlo simulations evaluated the performance of these estimation methods, revealing improved accuracy and consistency with increasing sample size. The PUTWD’s flexibility and superiority are demonstrated through applications to diverse real-world datasets, including petroleum reserve outputs, flood level measurements, engineering reliability, the COVID-19 pandemic, and radiation, showcasing its dominance over existing distributions and enhancing statistical modeling capabilities.

Authors

Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2025-03-24
DOI
https://doi.org/10.1016/j.jrras.2025.101434
Citations
9
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
23.67
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article

A flexible extension of the unit upper truncated Weibull distribution: Statistical analysis with applications on geology, engineering, and radiation Data

Caner Tanış, Laxmi Prasad Sapkota, John Kwadey Okutu, Alaa M. Abd El-latif et al.
9 citations
Journal of Radiation Research and Applied Sciences
Statistical Distribution Estimation and Applications
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article

A flexible extension of the unit upper truncated Weibull distribution: Statistical analysis with applications on geology, engineering, and radiation Data

Caner Tanış, Laxmi Prasad Sapkota, John Kwadey Okutu, Alaa M. Abd El-latif, Nooruldeen Ayad Noori, Ohud A. Alqasem
article en
9 citations

Abstract

A new extension of the unit upper truncated Weibull (UUTW) probability distribution termed power upper truncated probability distribution (PUTWD) has been developed through power transformation to address the limitations of the existing statistical distributions in capturing complex data patterns. The study derives key statistical properties for the PUTWD. Furthermore, parameter estimation is conducted using various methods. Monte Carlo simulations evaluated the performance of these estimation methods, revealing improved accuracy and consistency with increasing sample size. The PUTWD’s flexibility and superiority are demonstrated through applications to diverse real-world datasets, including petroleum reserve outputs, flood level measurements, engineering reliability, the COVID-19 pandemic, and radiation, showcasing its dominance over existing distributions and enhancing statistical modeling capabilities.

Journal of Radiation Research and Applied SciencesVol. 18(2)
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Openalex Percentile: Top 0%
Statistical Distribution Estimation and Applications
23.67
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