Random and quasi-random point sets /

This book sumarizes recent theoretical and practical developments. The generation and the assessment of pseudo- and quasi-random point sets is one of the basic tasks of applied mathematics and statistics, with implications for Monte Carlo methods, stochastic simulation, and applied statistics. They...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hellekalek, Peter, Larcher, Gerhard
Format: eBook
Language:English
Published: New York : Springer, [1998]
Series:Lecture notes in statistics (Springer-Verlag) ; v. 138.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • J. Beck, Probabilistic Diophantine Approximation, Uniform Distribution, and Quadratic Fields
  • H. Niederreiter, Nets, (t, s)-Sequences and Algebraic Geometry
  • F. Hickernell, Lattice Rules: How Well Do They Measure Up?- P. Hellekalek, Pseudo Random Points: Methods of Assessments
  • P. L'Ecuyer, Design Principles and Statistical Tests of Random Number Generators
  • S. Tezuka, Applications of Monte Carlo and Quasi-Monte Carlo to Finance.