一个新的截断的林德利生成的分布家族:属性,回归分析和应用
Mohamed Hussein1,2, Gabriela M Rodrigues3, Edwin M M Ortega3
1Department of Mathematics and Computer Science, Alexandria University, Alexandria 21544, Egypt.
Entropy (Basel, Switzerland)
|September 28, 2023
概括
我们介绍了截断的林德利-G (TLG) 模型,这是一个新的概率分布,附有额外的形状参数. 这种新的统计模型及其回归应用在数据分析方面显示出有前途的潜力.
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:
- 在统计建模中需要灵活的概率分布.
- 现有分布在捕获复杂数据模式方面的局限性.
研究的目的:
- 介绍新型的切断林德利-G (TLG) 分布.
- 分析TLG模型的数学属性和特征.
- 开发和评估基于TLG分布的回归模型.
主要方法:
- 一个截断的林德利分布与一个父分布的组成 G(x).
- 导出关键点,时刻,生成函数,量子函数,平均偏差和.
- 使用最大概率方法进行参数估计.
- 模拟研究用于在各种条件下评估估计器行为.
- 应用到四个现实世界的数据集.
主要成果:
- TLG模型提供了一个额外的形状参数,以提高灵活性.
- 该研究详细介绍了TLG分布的关键数学属性.
- 提出了一个基于截断的林德利-韦布尔分布的回归模型.
- 模拟结果为参数估计器的性能提供了洞察力.
- 实际数据分析证明了TLG模型的实际实用性.
结论:
- TLG模型是对概率分布家族的一个有价值的补充.
- 拟议的回归模型显示了分析复杂数据的潜力.
- 该研究通过模拟和现实世界的应用来验证模型的性能.
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