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: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2009
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| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14429 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | 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. |
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