Random variable generation methods

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review


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.

Originele taal-2Engels
TitelProblem-based learning: A didactic strategy in the teaching of system simulation
RedacteurenLorenzo Cevallos-Torres, Miguel Botto-Tobar
Aantal pagina's28
ISBN van elektronische versie978-3-030-13393-1
ISBN van geprinte versie978-3-030-13392-4
StatusGepubliceerd - 1 jan 2019

Publicatie series

NaamStudies in Computational Intelligence
ISSN van geprinte versie1860-949X

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  • Citeer dit

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