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Team:Grenoble/Modeling/Amplification/Stochastic
From 2012.igem.org
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Statistic modeling is a technique of presenting data or predicting outcomes that takes into account a certain degree of randomness or unpredictability. The stochastic process is often used to represent the evolution of some random value, or system, over time. | Statistic modeling is a technique of presenting data or predicting outcomes that takes into account a certain degree of randomness or unpredictability. The stochastic process is often used to represent the evolution of some random value, or system, over time. | ||
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| - | <center><img src="https://static.igem.org/mediawiki/2012/e/e7/Stochastic_def.png" alt="" /><center> | + | <center><img src="https://static.igem.org/mediawiki/2012/e/e7/Stochastic_def.png" alt="" /></center> |
</br> | </br> | ||
It is the probabilistic counterpart to a deterministic process. | It is the probabilistic counterpart to a deterministic process. | ||
Revision as of 14:10, 27 August 2012
Goal
Statistic modeling is a technique of presenting data or predicting outcomes that takes into account a certain degree of randomness or unpredictability. The stochastic process is often used to represent the evolution of some random value, or system, over time.
