Abstract
Generating discrete variates in their own right is a discontinuous process. Nevertheless, we generate them so that they are used “smoothly” — in a sense we make precise. To do this, we use a procedure somewhat analogous to our smoothing of discrete summmation in Section 7.1. Though it is not practical to use this method in wholesale fashion to generate many discrete variates in a single simulation run, it is practical when applied only to a few variates per run and those variates are the first generated — as in the Poisson case (where we generally apply it only to the Poisson variable, with a possible exception in Example 8.2.1). We show below that our procedure produces unbiased output.
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© 1999 Springer Science+Business Media New York
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Hillier, F.S., Fox, B.L. (1999). Smoothing Variate Generation. In: Strategies for Quasi-Monte Carlo. International Series in Operations Research & Management Science, vol 22. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5221-5_8
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DOI: https://doi.org/10.1007/978-1-4615-5221-5_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7379-7
Online ISBN: 978-1-4615-5221-5
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