Generating Generalized Inverse Gaussian Random Variates by Fast Inversion

Josef Leydold, Wolfgang Hörmann

Publikation: Working/Discussion PaperWU Working Paper

105 Downloads (Pure)

Abstract

We demonstrate that for the fast numerical inversion of the (generalized) inverse Gaussian distribution two algorithms based on polynomial interpolation are well-suited. Their precision is close to machine precision and they are much faster than the bisection method recently proposed by Y. Lai.
OriginalspracheEnglisch
DOIs
PublikationsstatusVeröffentlicht - 1 Nov. 2009

Publikationsreihe

ReiheResearch Report Series / Department of Statistics and Mathematics
Nummer95

WU Working Paper Reihe

  • Research Report Series / Department of Statistics and Mathematics

Zitat