Single and Twin-Heaps as Natural Data Structures for Percentile Point Simulation Algorithms

Reinhold Hatzinger, Wolfgang Panny

Publication: Working/Discussion PaperWU Working Paper

Abstract

Sometimes percentile points cannot be determined analytically. In such cases one has to resort to Monte Carlo techniques. In order to provide reliable and accurate results it is usually necessary to generate rather large samples. Thus the proper organization of the relevant data is of crucial importance. In this paper we investigate the appropriateness of heap-based data structures for the percentile point estimation problem. Theoretical considerations and empirical results give evidence of the good performance of these structures regarding their time and space complexity. (author's abstract)
Original languageEnglish
Place of PublicationVienna
PublisherDepartment of Statistics and Mathematics, WU Vienna University of Economics and Business
Publication statusPublished - 1993

Publication series

NameForschungsberichte / Institut für Statistik
No.32

WU Working Paper Series

  • Forschungsberichte / Institut für Statistik

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