Random variable generation methods

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-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 languageEnglish
Title of host publicationProblem-based learning: A didactic strategy in the teaching of system simulation
EditorsLorenzo Cevallos-Torres, Miguel Botto-Tobar
PublisherSpringer
Chapter4
Pages59-86
Number of pages28
ISBN (Electronic)978-3-030-13393-1
ISBN (Print)978-3-030-13392-4
DOIs
Publication statusPublished - 1 Jan 2019

Publication series

NameStudies in Computational Intelligence
Volume824
ISSN (Print)1860-949X

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  • Cite this

    Cevallos-Torres, L., & Botto-Tobar, M. (2019). Random variable generation methods. In L. Cevallos-Torres, & M. Botto-Tobar (Eds.), Problem-based learning: A didactic strategy in the teaching of system simulation (pp. 59-86). (Studies in Computational Intelligence; Vol. 824). Springer. https://doi.org/10.1007/978-3-030-13393-1_4