A new method to simulate the triangular distribution

Authors:
William E. Stein;Matthew F. Keblis
Affiliations:
Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX 77843-4217, United States;Management and Marketing, College of Business, University of Wyoming, Laramie, WY 82071, United States
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2009

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Abstract

A new method is developed to simulate the triangular distribution. The result is of interest from a practical as well as a theoretical viewpoint. The new method is surprisingly simple and is more efficient than the standard method of simulation by inversion of the cumulative distribution function. The method is also generalized to simulate the two-sided power distribution.