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Parameter Estimation for Geometric-Gumbel Compound Extreme-value Distribution based on the pi-th Quantiles of Samples

机译:基于样品PI-TH定量的几何牙龈复合极值分布的参数估计

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In this paper, the pi-th quantiles of samples on parameter estimation were applied to geometric-Gumbel compound extreme-value distribution. The asymptotic normal estimation of distribution parameter and scale parameter was proposed by linear regression model, based on k pi-th quantiles of extreme-value distribution simple sample. The asymptotic confidence interval was given for extreme-value distribution. Then, the effect was evaluated by numerical simulation, the result was good.
机译:本文将参数估计上的样品的PI-TH定量应用于几何牙龈复合极值分布。 线性回归模型提出了分布参数和比例参数的渐近正常估计,基于极值分布简单样本的K PI-TH定量。 给出了极值分布的渐近置信区间。 然后,通过数值模拟评估效果,结果良好。

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