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带应用的指数化林德利几何分布

The Exponentiated Lindley Geometric Distribution with Applications.

作者信息

Peng Bo, Xu Zhengqiu, Wang Min

机构信息

School of Computer Science, Southwest Petroleum University, Chengdu 610500, China.

Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409-1042, USA.

出版信息

Entropy (Basel). 2019 May 20;21(5):510. doi: 10.3390/e21050510.

Abstract

We introduce a new three-parameter lifetime distribution, the exponentiated Lindley geometric distribution, which exhibits increasing, decreasing, unimodal, and bathtub shaped hazard rates. We provide statistical properties of the new distribution, including shape of the probability density function, hazard rate function, quantile function, order statistics, moments, residual life function, mean deviations, Bonferroni and Lorenz curves, and entropies. We use maximum likelihood estimation of the unknown parameters, and an Expectation-Maximization algorithm is also developed to find the maximum likelihood estimates. The Fisher information matrix is provided to construct the asymptotic confidence intervals. Finally, two real-data examples are analyzed for illustrative purposes.

摘要

我们引入了一种新的三参数寿命分布,即指数化林德利几何分布,它呈现出递增、递减、单峰和浴盆形的危险率。我们给出了新分布的统计性质,包括概率密度函数的形状、危险率函数、分位数函数、顺序统计量、矩、剩余寿命函数、平均偏差、邦费罗尼曲线和洛伦兹曲线以及熵。我们使用未知参数的最大似然估计,并开发了一种期望最大化算法来找到最大似然估计。提供了费希尔信息矩阵以构建渐近置信区间。最后,为了说明目的分析了两个实际数据示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0121/7514999/8dc9ce3639e6/entropy-21-00510-g001.jpg

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