A range reduction method for generating discrete random variables
A new general method for generating discrete random variables is presented. The method is based on reducing the problem of generating a discrete random variable with an extremely large range to that of generating a random variable with a small range consisting of a few possible values (i.e. range reduction). The validity of the method presented is proved, and its performance is examined and compared to the performance of previously developed general methods. A random number generator for geometric variables of order r based on the range reduction method is given as an illustration of its advantages.
Year of publication: |
2013
|
---|---|
Authors: | Shmerling, Efraim |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 83.2013, 4, p. 1094-1099
|
Publisher: |
Elsevier |
Subject: | Random number generation | Discrete distribution | Probability generating function | Algorithm | Geometric distribution of order r |
Saved in:
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