一个新的扩展半物流分布的统计推理,估计和应用程序
A A Bhat1, S P Ahmad2, Ahmed M Gemeay3
1Department of Mathematical Sciences, Islamic University of Science and Technology, Awantipora, 192122, India.
Scientific reports
|February 21, 2024
概括
研究人员引入了奇数弗雷切半逻辑分布 (OFHL),这是一个灵活的统计模型,具有可适应的概率函数. 与现有模型相比,这种新分布在真实世界的数据应用中表现出更高的性能.
科学领域:
- 统计 统计 统计 统计
- 可能性理论概率理论.
- 数学建模的数学建模
背景情况:
- 在数据分析中,需要灵活的统计分布至关重要.
- 现有的分布可能无法充分捕捉复杂的数据行为.
- 奇特的Frechet-G家族为开发新发行版提供了一个框架.
研究的目的:
- 为了介绍和研究新奇奇异的Frechet半逻辑 (OFHL) 分布.
- 分析OFHL模型的数学和统计特性.
- 评估OFHL分布的各种参数估计方法的性能.
主要方法:
- 奇数弗雷切半物流 (OFHL) 分布的发展.
- 对OFHL模型的数学和统计特征.
- 应用六种不同的参数估计技术.
- 蒙特卡洛模拟用于估计器评估.
- 现实世界的数据分析和与现有模型的比较.
主要成果:
- OFHL分布表现出灵活的危险率函数 (下降,增加,浴,反转的U形).
- 对于OFHL参数估计,应用和评估了六种估计方法.
- 蒙特卡洛模拟证实了估计器的有效性.
- 在真实数据应用中,OFHL模型的表现优于已有的分布.
结论:
- 拟议的OFHL分布是一个多功能和有效的统计模型.
- 开发的估计方法适用于OFHL分布.
- OFHL模型为分析复杂数据集提供了一个有价值的替代方案.
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