Jones, M. C. and Lunn, A. D.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1080/00949659608811748|
|Google Scholar:||Look up in Google Scholar|
The basic ingredient of random variate generation is, of course, the uniform random number and, in particular, the ability to generate points uniformly over some twodimensional region. One can, for instance, choose such a region or regions to be easy or efficient to generate from, and then adapt the result to the region of interest which is that beneath the density curve, as done most famously, for example, in rejection methods. An alternative approach, explored here, is to transform from the easier uniform region to the desired variate. Not only is the inversion method an obvious example of this, but the approach also covers the more mysterious ratio-of-uniforms method and generalisations thereof which we are able to generalise yet further. Our aim is largely explanatoryjpedagogical rather than the explicit provision of new methods.
|Item Type:||Journal Article|
|Copyright Holders:||1996 Taylor & Francis|
|Keywords:||random numbers; rejection; simulation|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sarah Frain|
|Date Deposited:||05 May 2011 09:40|
|Last Modified:||04 Oct 2016 10:50|
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