An approximate method for generating asymmetric random variables
Communications of the ACM
An approximate method for generating symmetric random variables
Communications of the ACM
General random number generator [G5]
Communications of the ACM
The art of simulation
Input modeling with the Johnson system of distributions
WSC '88 Proceedings of the 20th conference on Winter simulation
Advanced input modeling for simulation experimentation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Alternative approaches for specifying input distributions and processes (panel session)
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Fitting a distribution to data using an alternative to moments
WSC '79 Proceedings of the 11th conference on Winter simulation - Volume 2
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Methods of modelling probabilistic components which are not adequately represented by the standard continuous distributions (such as normal, gamma, and Weibull) are surveyed. The methods are categorized as systems of distributions, approximations to the cumulative distribution function, and four-parameter distributions. Emphasis is on generality, determination of appropriate parameter values, and random variate generation.