Generating Random Numbers with Specified Distributions

  • Rüdiger U. Seydel


Simulation and valuation of finance instruments require numbers with speci- fied distributions. For example, in Section 1.6 we have used numbers Z drawn from a standard normal distribution, Z ~ N(0, 1). If possible the numbers should be random. But the generation of “random numbers” by digital computers, after all, is done in a deterministic and entirely predictable way. If this point is to be stressed, one uses the term pseudo-random1.


Generate Random Standard Normal Variate Parallel Straight Line Monte Carlo Integration Normal Deviate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 2006

Authors and Affiliations

  • Rüdiger U. Seydel
    • 1
  1. 1.Institute of MathematicsUniversity of KölnKölnGermany

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