Ahmed M. Gemeay , Sule Omeiza Bashiru , Laxmi Prasad Sapkota , Mohamed Kayid , Subhankar Dutta , Shahid Mohammad
{"title":"A new power transformed distribution with applications to radiotherapy and environmental datasets","authors":"Ahmed M. Gemeay , Sule Omeiza Bashiru , Laxmi Prasad Sapkota , Mohamed Kayid , Subhankar Dutta , Shahid Mohammad","doi":"10.1016/j.jrras.2025.101339","DOIUrl":null,"url":null,"abstract":"<div><div>This study proposes the power type II Topp-Leone half logistic (P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span>) distribution, an extension of the type II Topp-Leone half logistic (<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span>) distribution, achieved through the power transformation technique. The P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution enhances the flexibility and applicability of the original model, making it suitable for a wider range of real-world datasets exhibiting complex features such as skewness, heavy tails, and high variability. Key features of the proposed distribution include a flexible unimodal and right-skewed probability density function, an explicit quantile function, and a versatile hazard rate function that accommodates both increasing and decreasing patterns. Several important properties of the P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution are derived, including central moments, incomplete moments, conditional moments, probability-weighted moments, entropy measures, and order statistics. The parameters of the P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution were estimated using 16 classical methods, supported by a simulation study to assess the performance of these estimators. Real-world applications to biomedical and environmental datasets demonstrate that the P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution outperforms several existing models, establishing it as a powerful tool for modeling complex data in diverse fields.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101339"},"PeriodicalIF":1.7000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radiation Research and Applied Sciences","FirstCategoryId":"103","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687850725000512","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study proposes the power type II Topp-Leone half logistic (P) distribution, an extension of the type II Topp-Leone half logistic () distribution, achieved through the power transformation technique. The P distribution enhances the flexibility and applicability of the original model, making it suitable for a wider range of real-world datasets exhibiting complex features such as skewness, heavy tails, and high variability. Key features of the proposed distribution include a flexible unimodal and right-skewed probability density function, an explicit quantile function, and a versatile hazard rate function that accommodates both increasing and decreasing patterns. Several important properties of the P distribution are derived, including central moments, incomplete moments, conditional moments, probability-weighted moments, entropy measures, and order statistics. The parameters of the P distribution were estimated using 16 classical methods, supported by a simulation study to assess the performance of these estimators. Real-world applications to biomedical and environmental datasets demonstrate that the P distribution outperforms several existing models, establishing it as a powerful tool for modeling complex data in diverse fields.
期刊介绍:
Journal of Radiation Research and Applied Sciences provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and applications of nuclear, radiation and isotopes in biology, medicine, drugs, biochemistry, microbiology, agriculture, entomology, food technology, chemistry, physics, solid states, engineering, environmental and applied sciences.