Abstract
The methods developed in this book mostly rely on the possibility of producing (with a computer) a supposedly endless flow of random variables (usually iid) for well-known distributions. Such a simulation is, in turn, based on the production of uniform random variables. We thus provide in this chapter some basic methodology for doing this. In particular, we present a uniform random number generator and illustrate methods for using these uniform random variables to produce random variables from both standard and nonstandard distributions.
“Have you any thought,” resumed Valentin, “of a tool with which it could be done?”
“Speaking within modern probabilities, I really haven’t,” said the doctor.
— G.K. Chesterton, The Innocence of Father Brown
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© 1999 Springer Science+Business Media New York
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Robert, C.P., Casella, G. (1999). Random Variable Generation. In: Monte Carlo Statistical Methods. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3071-5_2
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DOI: https://doi.org/10.1007/978-1-4757-3071-5_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3073-9
Online ISBN: 978-1-4757-3071-5
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