O. Maxwell, Agu Friday, Nwokike Chukwudike, Francis Runyi, Offorha Bright
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引用次数: 15
摘要
通过对现有分布的扩展,提出了各种分布作为模型,以广泛应用于来自不同实际情况的数据。这是通过各种方式实现的。Lomax分布也称为“Pareto II型”,是第二类广义beta分布的特例1,在精算科学、经济学、生物科学、工程、寿命和可靠性建模等许多应用领域中都可以看到这种重负荷分布被认为是工程和生存分析中生存问题和寿命测试的一种替代分布逆Lomax分布是逆分布族中的一员,在分析已实现非单调故障率的情况时被发现是非常灵活的如果随机变量X具有洛max分布,则1 = Y X具有逆洛max分布。因此,如果对应的概率密度函数和累积密度函数由Yadav等人给出,则称随机变量X具有倒Lomax分布
A theoretical analysis of the odd generalized exponentiated inverse Lomax distribution
Various distributions have been proposed to serve as models for wide applications on data from different real-life situations through the extension of existing distribution. This has been achieved in various ways. The Lomax distribution also called “Pareto type II” is a special case of the generalized beta distribution of the second kind,1 and can be seen in many application areas, such as actuarial science, economics, biological sciences, engineering, lifetime and reliability modeling and so on.2 This heavy duty distribution is considered useful as an alternative distribution to survival problems and life-testing in engineering and survival analysis.3 Inverse Lomax distribution is a member of the inverted family of distributions and discovered to be very flexible in analyzing situations with a realized non-monotonic failure rate.4 If a random variable X has a Lomax distribution, then 1 = Y X has an inverse Lomax Distribution. Thus, a random variable X is said to have an Inverted Lomax distribution if the corresponding probability density function and cumulative density function are given by Yadav et al.5