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Approximating the distribution of Greenwood's statistic

机译:近似格林伍德统计量的分布

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摘要

textabstractStatistics based on uniform spacings are often used in goodness‐of‐fit problems. In this paper special attention is paid to the distribution of Greenwood's statistic. Although its asymptotic distribution is normal, the normal approximation is extremely bad, even for large sample sizes. It is shown that the Edge‐worth expansion yields a considerably better approximation for the distribution of this statistic. Furthermore, an overview is given of the higher order asympto‐tics for the sum of functions of uniform spacings, of which Greenwood's statistic is a special case. Copyright
机译:基于均匀间距的textabstractStatistics通常用于拟合优度问题。在本文中,应特别注意格林伍德统计量的分布。尽管其渐近分布是正态分布的,但即使对于大样本量,正态近似也非常糟糕。结果表明,Edge-worth展开对该统计量的分布产生了更好的近似值。此外,对等距函数之和的高阶渐近性作了概述,格林伍德的统计量是特例。版权

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