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Fractional absolute moments of heavy tailed distributions

Statistics Theory 2014-06-04 v2 Probability Statistics Theory

Abstract

Several convenient methods for calculation of fractional absolute moments are given with application to heavy tailed distributions. We use techniques of fractional differentiation to obtain formulae for E[Xμγ]E[|X-\mu|^\gamma] with 1<γ<21<\gamma<2 and μR\mu\in\mathbb{R}. The main focus is on heavy tailed distributions, several examples are given with analytical expressions of fractional absolute moments. As applications, we calculate the fractional moment errors for both prediction and parameter estimation problems.

Keywords

Cite

@article{arxiv.1301.4804,
  title  = {Fractional absolute moments of heavy tailed distributions},
  author = {Muneya Matsui and Zbynek Pawlas},
  journal= {arXiv preprint arXiv:1301.4804},
  year   = {2014}
}