Generating Random Numbers

  • Eric A. Suess
  • Bruce E. Trumbo
Part of the Use R book series (USE R, volume 0)


Much of this book deals with simulation methods for probability models, also called Monte Carlo methods. We have seen a few introductory examples in Chapter 1. Even for some models that are easy to specify in a theoretical form, it may be difficult or impossible to “do the math” necessary to obtain the numerical results required in practice. Because of recent advances in computer hardware and software, simulation methods now offer feasible solutions to some of these troublesome computational problems.


Generate Random Pseudorandom Number Moment Generate Function Quantile Function Full Period 
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 Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Statistics and BiostatisticsCalifornia State University, East BayHaywardUSA

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