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首页> 外文期刊>International journal of systems assurance engineering and management >The best single-observational and two-observational percentile estimations in the exponentiated Weibull-geometric distribution compared with maximum likelihood and percentile estimations
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The best single-observational and two-observational percentile estimations in the exponentiated Weibull-geometric distribution compared with maximum likelihood and percentile estimations

机译:与最大似然和百分位数估计相比,指数Weibull几何分布中最好的单观测和二观测百分位数估计

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摘要

In this research the best single-observation percentile estimation (BSPE) and best two-observation percentile estimation (BTPE), are introduced. Then theses estimators are obtained for probability density function and cumulative distribution function of the exponentiated Weibull-geometric (EWG) with increasing, decreasing, bathtub and unimodal shaped failure rate function. Finally, these estimators are compared with the maximum likelihood (ML) and percentile (PC) estimations using the Monte Carlo simulation and a real data set.
机译:在这项研究中,介绍了最佳的单观测百分位数估计(BSPE)和最佳的两次观测百分位数估计(BTPE)。然后,针对具有递增,递减,浴缸和单峰形状故障率函数的指数威布尔几何(EWG)的概率密度函数和累积分布函数,获得了这些估计量。最后,使用蒙特卡洛模拟和真实数据集将这些估计量与最大似然(ML)和百分位数(PC)估计进行比较。

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