On fitting disability in Saudi Arabia and radiation data: Using the alpha power transformed Rayleigh inverted Weibull distribution

IF 2.5 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Mohamed A. Abdelkawy , Atef F. Hashem , Mahmoud El-Morshedy , Hend S. Shahen
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Abstract

This study presents an in-depth analysis of the distribution of disability in Saudi Arabia according to age groups, as documented in the latest KSA Census of 2022. “4.2%” of the population of the Kingdom experiences difficulties or disabilities. The prevalence of disabilities increases significantly with age, where the percentage of people with disabilities is very low in the younger age groups and increases dramatically among the older individuals. These findings provide valuable information for policy makers in developing targeted intervention programs for people with disabilities based on age groups. Traditional probability distributions may, on occasion, fail to take into account this complexity, which can lead to inaccurate conclusions being drawn instead. So, in this article, we introduce a new three-parameter model called the alpha-power transformed Rayleigh inverted Weibull distribution (APTRIWD) to solve this issue. The probability density curves of APTRIWD provide evidence that it can be used in the analysis of disability data in Saudi Arabia and radiation data, demonstrating its practical applicability. Due to the fact that the hazard rate function (HRF) for APTRIWD can exhibit J-shaped, growing, and declining patterns, researchers have a great deal of flexibility when it comes to constructing statistical models for research on disability concerns. Some important statistical properties of the new suggested model are discussed. The maximum likelihood estimation method is utilized to determine the parameters of the machine learning model. For the purpose of determining the efficiency of maximum likelihood estimators, a Monte Carlo simulation analysis is performed. The proposed distribution was evaluated using three datasets related to disability concerns in Saudi Arabia and radiation data. The APTRIWD exhibited superior goodness of fit compared to several models. The APTRIWD is recommended for data modeling in fields such as disability challenges due to its exceptional fit capabilities and radiation data.
关于沙特阿拉伯伤残与辐射数据的拟合:用幂变换的Rayleigh倒威布尔分布
根据最新的2022年沙特阿拉伯人口普查记录,本研究对沙特阿拉伯按年龄组的残疾分布进行了深入分析。王国“4.2%”的人口有困难或残疾。残疾的流行率随着年龄的增长而显著增加,其中在较年轻的年龄组中残疾人的比例很低,而在老年人中则急剧增加。这些发现为决策者制定针对不同年龄组残疾人的针对性干预方案提供了有价值的信息。传统的概率分布有时可能没有考虑到这种复杂性,这可能导致得出不准确的结论。因此,在本文中,我们引入了一种新的三参数模型-幂变换瑞利倒威布尔分布(APTRIWD)来解决这一问题。APTRIWD的概率密度曲线证明了它可以用于沙特阿拉伯伤残数据和辐射数据的分析,证明了它的实用性。由于APTRIWD的危险率函数(HRF)可以呈现出j型、增长和下降的模式,因此研究人员在构建残疾问题研究的统计模型时具有很大的灵活性。讨论了新模型的一些重要统计性质。利用极大似然估计方法确定机器学习模型的参数。为了确定最大似然估计器的效率,进行了蒙特卡罗模拟分析。使用与沙特阿拉伯残疾问题相关的三个数据集和辐射数据对拟议的分布进行了评估。与几种模型相比,APTRIWD具有较好的拟合优度。由于APTRIWD具有出色的适配能力和辐射数据,因此推荐用于残疾挑战等领域的数据建模。
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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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