NEW LIFE-TIME CONTINUOUS PROBABILITY DISTRIBUTION WITH FLEXIBLE FAILURE RATE FUNCTION

Faruk Manu, U. Usman, A. Audu
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Abstract

Recently, the area of distribution theory has been receiving increased interest in generating or defining new classes of continuous probability distributions by way of extending the existing distributions. The new generated distribution is expected to be more flexible and have wider acceptability in modeling and predicting real world data sets.  In this research, we proposed and study an extension of Ikum distribution using Zubai G- Family (2018) of distribution called Z-Ikum distribution. Expression of some basic structural properties of the new distribution such as cdf, pdf, quantile functions, moments, moment generating function, characteristics function and order statistics was derived. Survival function, hazard rate function, commutative hazard rate function and reversed hazard rate function was also discussed. Plots of the hazard rate function showincrease, decrease and bathtub shapes.Estimation of the proposed distribution parameters was carried out using MLE method. Performance of the parameter estimation was also evaluated via simulation studies. Result of the simulation studies indicates that our estimator is consistent. Three life data sets were used to evaluate the performance of our proposed distribution over some existing distributions. Result of the empherical study revealed that our proposed distribution performwell in modeling real life data than the competing distributions.
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具有灵活故障率函数的新寿命连续概率分布
最近,分布理论领域越来越关注通过扩展现有分布来生成或定义新的连续概率分布类别。新生成的分布有望更加灵活,在模拟和预测现实世界的数据集时具有更广泛的可接受性。 在这项研究中,我们提出并研究了使用 Zubai G- Family (2018) 分布对 Ikum 分布的扩展,称为 Z-Ikum 分布。我们推导出了新分布的一些基本结构属性,如 cdf、pdf、量化函数、矩、矩产生函数、特征函数和阶次统计量。此外,还讨论了生存函数、危险率函数、交换危险率函数和反向危险率函数。危险率函数图显示了递增、递减和浴缸形状。还通过模拟研究评估了参数估计的性能。模拟研究的结果表明,我们的估计方法是一致的。我们使用了三个生活数据集来评估我们提出的分布相对于一些现有分布的性能。实证研究的结果表明,我们提出的分布在模拟现实生活数据时比其他竞争分布表现得更好。
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