2011Physics of Particles and Nuclei LettersRequires access

Edgeworth versus Gram-Charlier series: x-Cumulant and probability density tests

Michiel B. De Kock, H. C. Eggers, Jürgen Schmiegel

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Abstract

Edgeworth series are often considered the same as Gram-Charlier series in systematic expansions of nongaussian probability distributions. Testing direct approximations of the probability itself as well as of cumulants in coordinate space as functions of measured cumulants in momentum space, we show how the former far outperforms the latter.

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Edgeworth series are often considered the same as Gram-Charlier series in systematic expansions of nongaussian probability distributions. Testing direct approximations of the probability itself as well as of cumulants in coordinate space as functions of measured cumulants in momentum space, we show how the former far outperforms the latter.

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Available abstract

Edgeworth series are often considered the same as Gram-Charlier series in systematic expansions of nongaussian probability distributions. Testing direct approximations of the probability itself as well as of cumulants in coordinate space as functions of measured cumulants in momentum space, we show how the former far outperforms the latter.

Key concepts: Edgeworth series, Cumulant, Series (stratigraphy), Physics, Statistical physics, Gram, Position and momentum space, Space (punctuation)

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