Adaptable pseudo random number generator

Stochastic simulation incorporates random variables in the simulation model. In order to create random variables, pseudo random number generators are used. These pseudo random number generators use standard statistical probability distributions, it only approximates real process behavior. This resea...

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Main Authors: Africa, Danilo, Jr., Alborte, David John T., Chua Yap, Marc Derrick T., Kapahi, Manesh D.
Format: text
Language:English
Published: Animo Repository 2009
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14429
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-150712021-11-03T07:33:11Z Adaptable pseudo random number generator Africa, Danilo, Jr. Alborte, David John T. Chua Yap, Marc Derrick T. Kapahi, Manesh D. Stochastic simulation incorporates random variables in the simulation model. In order to create random variables, pseudo random number generators are used. These pseudo random number generators use standard statistical probability distributions, it only approximates real process behavior. This research aims to generate a probability distribution based in real data given by a sample set and using it to generate the needed random numbers. In doing so, the accuracy of the input distribution should be improved. 2009-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14429 Bachelor's Theses English Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
description Stochastic simulation incorporates random variables in the simulation model. In order to create random variables, pseudo random number generators are used. These pseudo random number generators use standard statistical probability distributions, it only approximates real process behavior. This research aims to generate a probability distribution based in real data given by a sample set and using it to generate the needed random numbers. In doing so, the accuracy of the input distribution should be improved.
format text
author Africa, Danilo, Jr.
Alborte, David John T.
Chua Yap, Marc Derrick T.
Kapahi, Manesh D.
spellingShingle Africa, Danilo, Jr.
Alborte, David John T.
Chua Yap, Marc Derrick T.
Kapahi, Manesh D.
Adaptable pseudo random number generator
author_facet Africa, Danilo, Jr.
Alborte, David John T.
Chua Yap, Marc Derrick T.
Kapahi, Manesh D.
author_sort Africa, Danilo, Jr.
title Adaptable pseudo random number generator
title_short Adaptable pseudo random number generator
title_full Adaptable pseudo random number generator
title_fullStr Adaptable pseudo random number generator
title_full_unstemmed Adaptable pseudo random number generator
title_sort adaptable pseudo random number generator
publisher Animo Repository
publishDate 2009
url https://animorepository.dlsu.edu.ph/etd_bachelors/14429
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