DocumentCode
1342972
Title
A New Approach to Machine Generation of Random Variables With Any Distribution
Author
Jeswani, P.T. ; Sikdar, S.
Author_Institution
Rochester Products Division of General Motors Corporation; 1000 Lexington Avenue; Rochester, NY 14603 USA.
Issue
1
fYear
1978
fDate
4/1/1978 12:00:00 AM
Firstpage
55
Lastpage
57
Abstract
A general procedure for generating a random variable with any distribution is presented. The basis of the procedure is that an event can be expressed as an outcome of two mutually exclusive events. The advantage of this procedure is illustrated with an example. The procedure has been used in Monte Carlo simulation studies of complex manufacturing and testing systems.
Keywords
Analytical models; Computational modeling; Distributed computing; Geometry; H infinity control; Random number generation; Random variables; Reliability theory; System testing; Virtual manufacturing; Pseudo random numbers; Random number generation; Simulation;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.1978.5220240
Filename
5220240
Link To Document