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A new one parameter discrete distribution and its applications

机译:一个新的离散分布及其参数应用程序

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摘要

In this paper, a new one parameter discrete distribution which is better than several well-known one parameter discrete distributions has been proposed. The expressions for its coefficient of variation, skewness, kurtosis and index of dispersion have been obtained and their behaviors illustrated graphically. The method of moment and the method of maximum likelihood estimation for estimating the parameter have been discussed. The simulation study has also been presented in order to illustrate the performance of maximum likelihood estimator. The goodness of fit of the proposed distribution has been explained with three examples of count datasets and its fit was found quite satisfactory over Poisson distribution, Poisson-Lindley distribution, Poisson-Akash distribution and Poisson-Ishita distribution.
机译:在本文中,一个新的参数离散分配比几个众所周知的一个参数离散分布提出了。变异系数、偏态、峰态分散指数一直和他们获得的行为图形。最大似然的方法参数估计的估计进行了讨论。为了说明了性能极大似然估计量。合适的分布解释三个计数数据集的例子和它适合被发现非常令人满意的分布,Poisson-Akash分布Poisson-Ishita分布。

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