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首页> 外文期刊>Stochastics: An International Journal of Probability and Stochastic Processes >Edgeworth-Cornish-Fisher-Hill-Davis expansions for normal and non-normal limits via Bell polynomials
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Edgeworth-Cornish-Fisher-Hill-Davis expansions for normal and non-normal limits via Bell polynomials

机译:通过贝尔多项式的正常和非正常极限的Edgeworth-Cornish-Fisher-Hill-Davis展开

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摘要

Cornish and Fisher gave expansions for the distribution and quantiles of asymptotically normal random variables whose cumulants behaved like those of a sample mean. This was extended by Hill and Davis to the case, where the asymptotic distribution need not be normal. Their results are cumbersome as they involve partition theory. We overcome this using Bell polynomials. The three basic expansions (for the distribution and its derivatives, for the inverse of the quantile, and for the quantile) involve three sets of polynomials. We give new ways of obtaining these from each other. The Edgeworth expansions for the distribution and density rest on the Charlier expansion. We give an elegant form of these as linear combinations of generalized Hermite polynomials, using Bell polynomials.
机译:康沃尔(Cornish)和费舍尔(Fisher)扩展了渐进正态随机变量的分布和分位数,其累积量的行为类似于样本均值。希尔和戴维斯将其扩展到渐近分布不必为正态的情况。由于涉及分区理论,其结果很繁琐。我们使用贝尔多项式克服了这一问题。三个基本展开式(用于分布及其导数,用于分位数的逆和用于分位数)涉及三组多项式。我们提供了相互获取这些资源的新方法。用于分布和密度的Edgeworth扩展基于Charlier扩展。我们使用Bell多项式将它们的一种优雅形式作为广义Hermite多项式的线性组合给出。

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