Random Values from Distributions![]() This Demonstration shows a general theoretical approach to generating random values from non-uniform distributions. Implementing it, however, requires computing the inverse of the cumulative distribution function (CDF) at the quantile in question. This can be computationally intensive if the CDF is complicated. In practice, random number generators often use other methods that are computationally faster. ![]() "Random Values from Distributions" from The Wolfram Demonstrations Project http://demonstrations.wolfram.com/RandomValuesFromDistributions/ Contributed by: Chris Boucher |
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