On the strange domain of attraction to generalized Dickman distributions for sums of independent random variables

Research output: Contribution to journalArticlepeer-review

Abstract

Let {Bk}k=1,{Xk}k=1 all be independent random variables. Assume that {Bk}k=1 are {0,1}-valued Bernoulli random variables satisfying BkdistBer(pk), with ∑k=1pk=∞, and assume that {Xk}k=1 satisfy: Xk>0, μk≡EXk<∞, limk→∞Xkμk=dist1. Let Mn=∑nk=1pkμk, assume that Mn→∞ and define the normalized sum of independent random variables Wn=1/Mn∑nk=1BkXk. We give a general condition under which Wn→distc, for some c∈[0,1], and a general condition under which Wn converges in distribution to a generalized Dickman distribution GD(θ). In particular, we obtain the following concrete results, which reveal a strange domain of attraction to generalized Dickman distributions. Let Jμ, Jp be nonnegative integers, let cμ,cp>0 and let (Formula presented) If (Formula presented) then. Otherwise, (Formula presented) depends on the above parameters. We also give an application to the statistics of the number of inversions in certain shuffling schemes.

Original languageEnglish
Article number3
JournalElectronic Journal of Probability
Volume23
DOIs
StatePublished - 2018

Keywords

  • Dickman function
  • Domain of attraction
  • Generalized Dickman distribution
  • Normalized sums of independent random variables

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint

Dive into the research topics of 'On the strange domain of attraction to generalized Dickman distributions for sums of independent random variables'. Together they form a unique fingerprint.

Cite this