一个指数化的XLindley分布与属性,推理和应用
Abdullah M Alomair1, Mukhtar Ahmed2, Saadia Tariq2
1Department of Quantitative Methods, School of Business, King Faisal University, 31982, Al-Ahsa, Saudi Arabia.
Heliyon
|February 9, 2024
概括
我们介绍了指数式Xlindley (EXL) 分布,一个灵活的统计模型. 它的适应性和高效性能在各种现实世界数据集中得到了展示.
科学领域:
- 统计 统计 统计 统计
- 可能性分布的概率分布.
背景情况:
- 开发新的统计分布对于建模复杂现象至关重要.
- 现有的分布可能无法充分捕捉所有数据类型的特征.
研究的目的:
- 提出和描述一个新的统计分布,即指数化Xlindley (EXL) 分布.
- 调查EXL分布的统计属性和估计方法.
- 为了证明EXL分布在各种应用中的实际实用性.
主要方法:
- 导出关键的统计性质:量子函数,时刻,危险函数,平均剩余寿命和雷尼.
- 使用最大概率,安德森·达林,克莱默··米塞斯,最大产品间距和最小平方方法进行参数估计.
- 通过蒙特卡洛模拟和贝叶斯推理与轨迹图和Geweke诊断进行验证.
主要成果:
- 指数式Xlindley (EXL) 分布表现出可适应的密度和故障率函数.
- 应用了各种估计技术,并通过模拟检查了它们的行为.
- 贝叶斯方法成功地用于参数估计,并确认了收.
结论:
- EXL分布是一种多功能和高效的统计模型.
- 它的适用性在各种数据集中得到验证,包括COVID-19死亡率,降水量和可修复物品故障时间.
- 拟议的EXL分销提供了与已建立的分销相比具有竞争力的性能.
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