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Portable random number generators

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Author Info
Gerald P. Dwyer, Jr.
K. B. Williams

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Abstract

Computers are deterministic devices, and a computer-generated random number is a contradiction in terms. As a result, computer-generated pseudorandom numbers are fraught with peril for the unwary. We summarize much that is known about the most well-known pseudorandom number generators: congruential generators. We also provide machine-independent programs to implement the generators in any language that has 32-bit signed integers-for example C, C++, and FORTRAN. Based on an extensive search, we provide parameter values better than those previously available.

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Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number 99-14.

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Date of creation: 1999
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Handle: RePEc:fip:fedawp:99-14

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Keywords: Programming (Mathematics) ; Computers;

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  1. Sangjoon Kim, Neil Shephard & Siddhartha Chib, . "Stochastic volatility: likelihood inference and comparison with ARCH models," Economics Papers W26, revised version of W, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
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  2. McCullough, B D, 1999. "Econometric Software Reliability: EViews, LIMDEP, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 191-202, March-Apr. [Downloadable!]
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