Random variable generation methods

Lorenzo Cevallos-Torres; Miguel Botto-Tobar

doi:10.1007/978-3-030-13393-1_4

Random variable generation methods

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

Simulation is the process of designing and developing a computerized model of a system or process and conducting experiments. To understand the system behavior or to evaluate several strategies which the system can be operated based on probabilistic models that allow to generate random variables and obtain significant results through methods such as inverse transform, accept-reject, composition and convolution methods.

Original language	English
Title of host publication	Problem-based learning: A didactic strategy in the teaching of system simulation
Editors	Lorenzo Cevallos-Torres, Miguel Botto-Tobar
Publisher	Springer
Chapter	4
Pages	59-86
Number of pages	28
ISBN (Electronic)	978-3-030-13393-1
ISBN (Print)	978-3-030-13392-4
DOIs	https://doi.org/10.1007/978-3-030-13393-1_4
Publication status	Published - 1 Jan 2019

Publication series

Name	Studies in Computational Intelligence
Volume	824
ISSN (Print)	1860-949X

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10.1007/978-3-030-13393-1_4

Cite this

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Random variable generation methods. / Cevallos-Torres, Lorenzo; Botto-Tobar, Miguel.
Problem-based learning: A didactic strategy in the teaching of system simulation. ed. / Lorenzo Cevallos-Torres; Miguel Botto-Tobar. Springer, 2019. p. 59-86 (Studies in Computational Intelligence; Vol. 824).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Random variable generation methods

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