单元上截断的韦布尔分布与扩展到0和1的膨胀模型 - 理论和应用
Idika E Okorie1, Emmanuel Afuecheta2,3, Hassan S Bakouch4,5
1Department of Mathematics, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.
Heliyon
|December 7, 2023
概括
研究人员引入了一种新的统计模型,即单位上截断的韦布尔分布 (UUTW) 和其对零和一个通货膨胀的扩展. 这种灵活的模型在分析现实数据方面表现得更好,包括支出和癌症患者数据.
科学领域:
- 统计 统计 统计 统计
- 可能性分布的概率分布.
- 生存分析的分析.
背景情况:
- 单元间隔数据提出了独特的建模挑战.
- 现有的分布可能无法充分捕捉特定的危险率行为或终点通胀.
- 灵活的统计模型对于准确分析边界数据至关重要.
研究的目的:
- 介绍单位上截断的韦布尔分布 (UUTW) 和它的回归模型.
- 扩展UUTW分布以纳入零和一个 (ZOIUUTW) 的通货膨胀.
- 使用现实世界数据集评估拟议模型的灵活性和性能.
主要方法:
- 开发了一个双参数单位分布 (UUTW) 增加和J形危险率.
- 用于参数估计的最大概率估计.
- 将UUTW和ZOIUUTW分布应用于家庭支出,洪水水平和癌症患者 (CD34+) 数据.
主要成果:
- 与现有的单位分配相比,UUTW分布在支出和洪水水平数据方面表现出更好的适应性.
- 该UUTW回归模型显示出更好的建模熟练度比竞争对手模型的真实数据集.
- 在癌症患者数据的两个终点上,ZOIUUTW分布有效地描述了通货膨胀.
结论:
- 拟议的UUTW分布及其回归模型为分析单位间隔数据提供了灵活有效的工具.
- ZOIUUTW扩展成功地处理了通货膨胀为零和一的数据.
- 这些模型为各种科学领域的统计建模提供了增强的能力.
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