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

被引:0
|
作者
Abd El-latif, Alaa M. [1 ]
Alqasem, Ohud A. [2 ]
Okutu, John Kwadey [3 ]
Tanis, Caner [4 ]
Sapkota, Laxmi Prasad [5 ]
Noori, Nooruldeen A. [6 ]
机构
[1] Northern Border Univ, Coll Sci, Math Dept, Ar Ar 91431, Saudi Arabia
[2] Princess Nourah bint Abdulrahman Univ, Coll Sci, Dept Math Sci, POB 84428, Riyadh 11671, Saudi Arabia
[3] Kwame Nkrumah Univ Sci & Technol, Dept Stat & Actuarial Sci, Kumasi, Ghana
[4] CankiriKaratekin Univ, Dept Stat, Cankiri, Turkiye
[5] Tribhuvan Univ, Dept Stat, Tribhuvan Multiple Campus, Palpa, Nepal
[6] Helwan Univ, Math Dept, Cairo, Egypt
关键词
Radiation; COVID-19; Simulation; Weibull distribution; Engineering; Real data; LINDLEY DISTRIBUTION;
D O I
10.1016/j.jrras.2025.101434
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:17
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