On the empirical exploration of a new probability distribution in physical education and reliability

IF 6.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY alexandria engineering journal Pub Date : 2024-08-23 DOI:10.1016/j.aej.2024.08.059
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Abstract

Probability-based methodologies have gained widespread recognition for their pivotal role in steering decision-making in contexts marked by uncertainty or vagueness. In order to guarantee that decisions made in these circumstances are both significant and impactful, various methodologies focused on probability have been devised and utilized. This study seeks to significantly enrich the existing literature by proposing a new probability model termed the weighted sine exponentiated Weibull distribution. Certain characteristics are obtained for the suggested model. Additionally, the parameter estimation method and simulation studies related to the suggested model are also provided. Two distinct data sets, acquired from the disciplines of physical education and reliability, were effectively implemented using the proposed model, resulting in a successful outcome. Through the utilization of the p-value and various tests, it becomes apparent that the weighted sine exponentiated Weibull model consistently surpasses its competitor distributions in terms of statistical significance. The proposed model’s practical illustration highlights its effectiveness and potential for extensive use in both physical education and reliability research and practice.

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关于新概率分布在体育教学中的实证探索及可靠性
基于概率的方法因其在不确定性或模糊性环境中指导决策的关键作用而得到广泛认可。为了保证在这些情况下做出的决策既重要又有影响力,人们设计并使用了各种以概率为核心的方法。本研究提出了一种新的概率模型,称为加权正弦指数化 Weibull 分布,旨在极大地丰富现有文献。该模型具有某些特征。此外,还提供了与建议模型相关的参数估计方法和模拟研究。两个不同的数据集分别取自体育教育和可靠性学科,使用所建议的模型进行了有效的实施,并取得了成功的结果。通过使用 p 值和各种检验,可以明显看出加权正弦指数化 Weibull 模型在统计意义上一直超越其竞争分布。拟议模型的实际说明凸显了其在体育教育和可靠性研究与实践中的有效性和广泛应用潜力。
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来源期刊
alexandria engineering journal
alexandria engineering journal Engineering-General Engineering
CiteScore
11.20
自引率
4.40%
发文量
1015
审稿时长
43 days
期刊介绍: Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering
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