A Discrete New Generalized Two Parameter Lindley Distribution: Properties, Estimation and Applications

Manal M. Salem, Moshira A. Ismail
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Abstract

In this paper, a discrete new generalized two parameter Lindley distribution is proposed. Discrete Lindley and Geometric distributions are sub-models of the proposed distribution. Its probability mass function exhibits different shapes including decreasing, unimodal and decreasing-increasing-decreasing. Our proposed distribution has only two-parameters and its hazard rate function can accommodate increasing, constant, decreasing and bathtub shapes. Moreover, this distribution can describe equi and over dispersed data. Several distributional properties are obtained and several reliability characteristics are derived such as cumulative distribution function, hazard rate function, second hazard rate  function, mean residual life function, reverse hazard rate function, accumulated hazard rate function and also its order statistics. In addition, the study of the shapes of the hazard rate function is provided analytically and also by plots. Estimation of the parameters is done using the maximum likelihood method. A simulation study is conducted to assess the performance of the maximum likelihood estimators. Finally, the flexibility of the model is illustrated using three real data sets.
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一种新的离散广义双参数Lindley分布:性质、估计及应用
提出了一种新的离散型广义双参数林德利分布。离散林德利分布和几何分布是所提出分布的子模型。其概率质量函数表现为递减型、单峰型和递减-递增-递减型。我们提出的分布只有两个参数,其危险率函数可以适应增加、恒定、减少和浴缸形状。此外,这种分布可以描述均匀和过分散的数据。得到了累积分布函数、危险率函数、二次危险率函数、平均剩余寿命函数、逆向危险率函数、累积危险率函数及其序统计量等若干可靠性特性。此外,还对危险率函数的形状进行了分析和图解研究。参数的估计是用极大似然法完成的。通过仿真研究对最大似然估计器的性能进行了评估。最后,用三个实际数据集说明了该模型的灵活性。
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