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On the Exponential Power Distribution

机译:关于指数分布

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The paper examines the nature of the exponential power distribution (EPD) in terms of its location, μ , scale, β and shape, σ , parameters. It establishes conditions under which the distribution is legitimate and reliable. It derives among others the moment and kurtosis of the distribution as well as the maximum likelihood estimators of the parameters. It then uses data on health to assess the departure of the distribution from normality. Three main softwares are used, namely; EasyFit, MATLAB and Minitab. In the application, we find that the EPD, for some values of , significantly fits Weight, Height and Body Mass Index out of seven variables covered. We deduce that the EPD would be inappropriate for fitting asymmetrical datasets, since the variables which are not significant are found to be highly skewed.
机译:本文根据位置,μ,比例,β和形状σ的参数来检验指数分布(EPD)的性质。它确定了发行合法合法的条件。它可以导出分布的矩和峰度以及参数的最大似然估计值。然后,它使用有关健康的数据来评估分布与正常值的偏离。使用了三个主要软件: EasyFit,MATLAB和Minitab。在该应用程序中,我们发现,EPD对于的某些值非常适合所涵盖的七个变量中的体重,身高和体重指数。我们认为,EPD不适合拟合非对称数据集,因为发现不重要的变量高度偏斜。

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