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On the moments of a distribution defined by the Gaussian polynomials.

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Publication:1417808
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DOI10.1016/S0378-3758(02)00422-6zbMath1043.62006OpenAlexW2082583449MaRDI QIDQ1417808

Prodinger, Helmut

Publication date: 6 January 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00422-6


zbMATH Keywords

momentscumulantsBernoulli numbersGaussian polynomials


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (4)

The number of flags in finite vector spaces: asymptotic normality and Mahonian statistics ⋮ Eigenvalue distributions of reduced density matrices ⋮ The \(q\)-Catalan numbers: a saddle point approach ⋮ A probabilistic analysis of some tree algorithms



Cites Work

  • A note on the higher moments of the expected behavior of straight insertion sort
  • Combinatorics, computer algebra and the Wilcoxon-Mann-Whitney test


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