用于模拟辐射和生物数据的一种新的离散Burr III分布

IF 2.5 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of Radiation Research and Applied Sciences Pub Date : 2025-06-01 Epub Date: 2025-02-26 DOI:10.1016/j.jrras.2025.101366
Abdullah M. Alomair , Muhammad Nasir Saddam Hussain , Amara Javed , Muhammad Ahsan-ul-Haq
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引用次数: 0

摘要

利用生存离散化方法,提出了一种新的三参数离散概率分布“离散修正Burr III”分布。我们推导并探索了各种统计特性,如矩、色散指数、平均偏差和阶统计量。此外,我们还探讨了其可靠性特征,包括生存、风险函数、累积风险函数和剩余可靠性函数。采用极大似然估计方法对模型参数进行估计。利用详细的蒙特卡罗模拟来评估派生估计器在不同样本量下的性能。使用生物和辐射数据集对新模型的效用进行了评估,证明与考虑的竞争离散分布相比,它具有更好的拟合性。此外,我们还使用贝叶斯估计方法分析了这些数据集。
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A new discrete Burr III distribution for modeling radiation and biological data
A new three-parameter discrete probability distribution entitled “discrete modified Burr III” distribution is introduced using the survival discretization approach. We derived and explored various statistical properties such as moments, dispersion index, mean deviation, and order statistics. Additionally, we also explore its reliability characteristics including survival, hazard function, cumulative hazard function, and residual reliability function. The parameters of the model are estimated using the maximum likelihood estimation approach. A detailed Monte Carlo simulation is utilized to assess the performance of derived estimators across varying sample sizes. The utility of the new model is evaluated using biological and radiation datasets, demonstrating its better fit compared to considered competing discrete distribution. Additionally, we also analyzed these datasets using the Bayesian estimation approach.
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来源期刊
自引率
5.90%
发文量
130
审稿时长
16 weeks
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.
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