THE LOMAX-EXPONENTIAL DISTRIBUTION, SOME PROPERTIES AND APPLICATIONS

Nasrin Hami Golzar, M. Ganji, H. Bevrani
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引用次数: 6

Abstract

The exponential distribution is a popular model in applications to real data. We propose a new extension of this distribution, called the Lomax-exponential distribution, which presents greater flexibility to the model. Also there is a simple relation between the Lomax-exponential distribution and the Lomax distribution. Results for moment, limit behavior, hazard function, Shannon entropy and order statistic are provided. To estimate the model parameters, the method of maximum likelihood and Bayse estimations are proposed. Two data sets are used to illustrate the applicability of the Lomax-exponential distribution.
最大指数分布,一些性质和应用
指数分布是应用于实际数据的一种常用模型。我们提出了该分布的一个新的扩展,称为lomax -指数分布,它为模型提供了更大的灵活性。指数分布与洛马克斯分布之间也有简单的关系。给出了矩、极限行为、危险函数、香农熵和序统计量的计算结果。为了估计模型参数,提出了极大似然估计和贝叶斯估计方法。用两个数据集来说明lmax -指数分布的适用性。
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