一个新的洛马克斯-G家族:属性,估计和应用
Hanan Baaqeel1, Hibah Alnashshri1,2, Lamya Baharith1
1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
一个新的 Lomax-G 分布家族,包括 Lomax-Weibull 分布,提供了一个灵活的工具来建模复杂的生命周期数据. 在可靠性分析中,这种新型分销家族在与现有模型相比显示出更好的适应性.
科学领域:
- 概率与统计学 概率与统计学
- 可靠性工程可靠性工程
- 数学建模的数学建模
背景情况:
- 对于解释复杂现象的先进统计分布的需求日益增加.
- 在可靠性分析和数据建模中需要灵活的模型.
研究的目的:
- 介绍一种新的Lomax-G分布家族,该分布基于危险率的指数反式.
- 研究作为子模型的新罗马克斯-韦布尔 (NLW) 分布的特性和应用.
- 评估NLW分布的各种参数估计技术的性能.
主要方法:
- 为新的洛马克斯-G家族推导累积函数和概率密度函数.
- 对NLW分布的密度和危险函数形状的分析.
- 应用了五种估计技术:最大概率,百分位数,最小平方,加权最小平方和克拉梅尔--米塞斯.
- 比较蒙特卡洛模拟和真实世界的数据验证.
主要成果:
- 在NLW分布表现出不同的形状 (对称,倾斜,倒置J) 和不对称的危险函数.
- 模拟研究和数值演示评估估计方法的性能.
- 与竞争模型相比,NLW分布表现出更准确地与现实数据集相匹配.
结论:
- 拟议的 Lomax-G 系列,特别是 NLW 分布,是可靠性分析的灵活和高效工具.
- 在NLW分发提供复杂的生命周期数据改进的建模能力.
- 该研究验证了NLW分布在各种应用中的有效性.
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