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An Empirical Examination of the Asymptotic Normality of the kth Order Statistic

机译:k阶统计量的渐近正态性的实证检验

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In this paper, the equivalence of the sample pth quantile of a distribution and the kth order statistic of a random sample obtained from the distribution is reviewed. Based on the review, a new corollary on the almost sure convergence of the kth order statistic to the pth quantile was obtained without proof. Through an extensive Monte Carlo simulation, the extreme as well as the central kth order statistics of five different continuous distributions were obtained at different sample sizes and the asymptotic normality of the order statistics were investigated with the use of the Anderson - Darling (AD) statistic for normality test. The result showed among other things that asymptotic normality holds only for the central order statistics.
机译:在本文中,回顾了分布的样本pth分位数的等效性和从该分布获得的随机样本的k级统计量。在此基础上,没有证据就得出了关于k阶统计量与pth分位数几乎可以肯定收敛的新推论。通过广泛的蒙特卡洛模拟,在不同样本量下获得了五个不同连续分布的极限和中心k阶统计量,并使用Anderson-Darling(AD)统计量研究了该阶跃统计量的渐近正态性用于正常性测试。结果表明,渐近正态性仅适用于中心阶统计量。

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