Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt.
PLoS One. 2020 Dec 3;15(12):e0241970. doi: 10.1371/journal.pone.0241970. eCollection 2020.
This article proposes and studies a new three-parameter generalized model of the inverse Gompertz distribution, in the so-called Kumaraswamy inverse Gompertz distribution. The main advantage of the new model is that it has "an upside down bathtub-shaped curve hazard rate function" depending upon the shape parameters. Several of its statistical and mathematical properties including quantiles, median, mode, moments, probability weighted moment, entropy function, skewness and kurtosis are derived. Moreover, the reliability and hazard rate functions, mean time to failure, mean residual and inactive lifetimes are also concluded. The maximum likelihood approach is done here to estimate the new model parameters. A simulation study is conducted to examine the performance of the estimators of this model. Finally, the usefulness of the proposed distribution is illustrated with different engineering applications to complete, type-II right censored, and upper record data and it is found that this model is more flexible when it is compared to well-known models in the statistical literature.
本文提出并研究了一种新的三参数广义逆戈珀兹分布模型,即所谓的库马拉斯瓦米逆戈珀兹分布。新模型的主要优点在于,它具有“倒扣浴缸形的危险率函数”,这取决于形状参数。导出了其几个统计和数学性质,包括分位数、中位数、众数、矩、概率加权矩、熵函数、偏度和峰度。此外,还得出了可靠性和危险率函数、平均失效时间、平均剩余和非活动寿命。此处采用最大似然法来估计新模型的参数。进行了一项模拟研究,以检验该模型估计量的性能。最后,通过不同的工程应用来说明所提出的分布的实用性,包括完全数据、II 类右删失数据和上记录数据,结果表明,与统计文献中的知名模型相比,该模型具有更大的灵活性。