Generating Discrete Random Variates
Nick T. Thomopoulos
Additional contact information
Nick T. Thomopoulos: Illinois Institute of Technology, Stuart School of Business
Chapter Chapter 5 in Essentials of Monte Carlo Simulation, 2013, pp 45-55 from Springer
Abstract:
Abstract This chapter shows how to transform continuous uniform random variates, u∼U(0,1), to random discrete variates for a variable that comes from one of the more common discrete probability distributions. The probability distributions described here are the following: discrete arbitrary, discrete uniform, Bernoulli, binomial, hyper-geometric, geometric, Pascal and Poisson.
Keywords: Arbitrary Discretion; Discrete Uniform; Continuous Uniform Random Variables; Poisson Variables; Pascal Distribution (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-6022-0_5
Ordering information: This item can be ordered from
http://www.springer.com/9781461460220
DOI: 10.1007/978-1-4614-6022-0_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().