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On Simulating Non-Normal Distributions

Published online by Cambridge University Press:  01 January 2025

Pandu R. Tadikamalla
Pandu R. Tadikamalla*
Affiliation:
University of Pittsburgh
*
Request for reprints should be sent to Pandu R, TadikamaUa, Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260.
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Abstract

Six different algorithms to generate widely different non-normal distributions are reviewed. These algorithms are compared in terms of speed, simplicity and generality of the technique. The advantages and disadvantages of using these algorithms are briefly discussed.

Keywords

simulationcomputer methods

Information

Type
Notes and Comments
Information
Psychometrika , Volume 45 , Issue 2 , June 1980 , pp. 273 - 279
Copyright
Copyright © 1980 The Psychometric Society

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Footnotes

The author would like to thank an anonymous referee for his comments and suggestions which lead to the inclusion of the section “A Comparative Study.”

References

Reference Notes

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