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Random Variable Generation Methods

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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 824))

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.

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Author information

Authors and Affiliations

  1. Faculty of Mathematical and Physical Sciences, University of Guayaquil, Guayaquil, Ecuador

    Lorenzo Cevallos-Torres

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Miguel Botto-Tobar

  3. University of Guayaquil, Guayaquil, Ecuador

    Miguel Botto-Tobar

Authors
  1. Lorenzo Cevallos-Torres
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  2. Miguel Botto-Tobar
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Correspondence to Lorenzo Cevallos-Torres .

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Cevallos-Torres, L., Botto-Tobar, M. (2019). Random Variable Generation Methods. In: Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation. Studies in Computational Intelligence, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-030-13393-1_4

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