通过贝尔多项式的正态和非正态极限的Edgeworth-Cornish-Fisher-Hill-Davis展开式

Pub Date : 2015-04-10 DOI:10.1080/17442508.2014.1002785
C. Withers, S. Nadarajah
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引用次数: 2

摘要

Cornish和Fisher给出了渐近正态随机变量的分布和分位数的展开式,这些随机变量的累积量与样本均值相似。Hill和Davis将这种方法推广到渐近分布不需要是正态分布的情况。他们的结果很麻烦,因为他们涉及到分拆理论。我们用贝尔多项式克服了这个问题。三种基本展开(分布及其导数、分位数逆和分位数)涉及三组多项式。我们给出了从彼此获得这些的新方法。分布和密度的埃奇沃斯展开式建立在查利尔展开式之上。我们用贝尔多项式给出了广义埃尔米特多项式的线性组合的优雅形式。
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Edgeworth–Cornish–Fisher–Hill–Davis expansions for normal and non-normal limits via Bell polynomials
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.
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