On the Distribution of Digital Sequences

  • Gerhard Larcher
Part of the Lecture Notes in Statistics book series (LNS, volume 127)


Low-discrepancy point sets are the basic tool for various quasi-Monte Carlo methods. The most important concept for the construction of low-discrepancy point sets in an s-dimensional unit cube is the concept of digital point sets, introduced by Niederreiter in 1987. We show that “almost all” digital sequences in a prime base are, in a certain sense, almost best possible distributed in the unit cube. Thereby we improve a result given in [LN95]


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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • Gerhard Larcher
    • 1
  1. 1.Institut für MathematikUniversität SalzburgSalzburgAustria

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