新的XLindley分布:统计推断,模糊可靠性和应用
Ahmed M Gemeay1, Abdelali Ezzebsa2, Halim Zeghdoudi3
1Department of Mathematics, Faculty of Science, Tanta University, Tanta 31527, Egypt.
Heliyon
|December 16, 2024
概括
为数据分析,引入了一种新的统计模型,即功率新Xlindley (PNXL) 分布. 这种新的发行版比现有模型提供了更好的性能,证明了它对现实世界的应用的潜力.
科学领域:
- 统计 统计 统计 统计
- 可能性分布的概率分布.
- 数学建模的数学建模
背景情况:
- 克林德利分布是统计建模中的一个有价值的工具.
- 持续需要新的概率分布,以提高灵活性和适用性.
研究的目的:
- 介绍和探索一个新的两个参数分布的特性,即功率新XLindley (PNXL) 分布.
- 评估PNXL分布参数估计器的性能.
- 通过使用现实世界的数据来证明PNXL分布的实际实用性和优势.
主要方法:
- 使用功率转换方法推导PNXL分布.
- 关键统计性质的分析性探索 (时刻,MGF,生存/危险函数,倾斜性,库尔托斯).
- 通过模拟研究开发和评估参数估计技术.
- 在真实数据集上进行模型拟合和比较分析.
主要成果:
- 详细研究了PNXL分布的结构性质.
- 提出了参数估计方法,并评估了它们的性能.
- 与真实数据集上的现有模型相比,PNXL分布显示出更高的性能.
结论:
- 电力新Xlindley (PNXL) 分布是一个有前途的新统计模型.
- PNXL发行版为数据建模和分析提供了强大而有效的工具.
- 该研究验证了PNXL分布在实际场景中的适用性和优势.
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