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Comparison of four methods to estimate the scale parameter for Extended Poisson Exponential distribution

机译:四种方法估算扩展泊松指数分布规模参数的比较

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In this paper, it was obtained estimators of the scale parameter of Extended Poisson Exponential distribution by four methods using complete data, these methods are the Maximum Likelihood Estimator (MLE), the Least Squares Estimator (LSE), Plotting Position Estimator (PPE) and White Estimator (WE), these four methods have been compared by the criteria of Mean Square Error (MSE) using Monte Carlo simulation, and from the results on the samples in the simulation, the comparison in this study showed that Maximum Likelihood Estimator method is best from other methods followed by the White Estimator method then the Least Squares Estimator method.
机译:在本文中,获得了使用完整数据的四种方法的扩展泊松指数分布规模参数的估计值,这些方法是最大似然估计器(MLE),最小二乘估计器(LSE),绘图位置估计器(PPE)和白色估算器(我们),这四种方法已经通过Monte Carlo模拟的均线误差(MSE)的标准进行了比较,并且从模拟中的样品上的结果,本研究中的比较显示最大似然估计方法是来自其他方法,后跟白色估计方法,那么最小二乘估计方法。

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