A New Poisson Inverted Exponential Distribution: Model, Properties and Application

G. Dhungana
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引用次数: 2

Abstract

A new Poisson Inverted Exponential distribution is developed from the Poisson family of distribution, which has two parameters. The characteristic of the intended model is unimodal, positive skewed and platykurtic, while the characteristic of the hazard function is the inverted bathtub and the decreasing order. Explicit expression of quantile function, moments (including incomplete and conditional moments), moment generating function, residual life function, R`enyi and q-entropies, probability weighted moment and order statistics of the intended model. The value of unknown parameters is estimated by the maximum likelihood estimate with the confidence interval. Similarly, purposed model compared with well-known other five distributions through different criteria like as goodness of fit, P-P plot, Q-Q plots and K-S test. Likewise, we fitted the PDF and CDF of purposed model with other models, it is clear that intended model is great flexibility and satisfactory fit than those models. Therefore purposed model is more useful in real data and life time data analysis and modelling.
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一种新的泊松倒指数分布:模型、性质及应用
在泊松分布族的基础上,提出了一种具有两个参数的泊松倒指数分布。预期模型的特征为单峰、正偏斜和平顺,而风险函数的特征为倒浴盆和递减阶。期望模型的分位数函数、矩(包括不完全矩和条件矩)、矩生成函数、残差寿命函数、R 'enyi熵和q-熵、概率加权矩和阶统计量的显式表达。用置信区间的最大似然估计估计未知参数的值。同样,目的模型通过拟合优度、P-P图、Q-Q图和K-S检验等不同标准与已知的其他五种分布进行比较。同样,我们将目标模型的PDF和CDF与其他模型进行拟合,显然目标模型比这些模型具有更大的灵活性和令人满意的拟合。因此,目标模型在实际数据和生命周期数据的分析和建模中更为有用。
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