Team:Paris/Modeling/BOB/Akaike
From 2008.igem.org
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* Using linear equations in a biological system might seem awkards. However, we wanted to check the relevance of this approach. We have been looking for a criterium that would penalize a system that had many parameters, but that would also penalize a system which quadratic error would be too important while fitting experimental values. | * Using linear equations in a biological system might seem awkards. However, we wanted to check the relevance of this approach. We have been looking for a criterium that would penalize a system that had many parameters, but that would also penalize a system which quadratic error would be too important while fitting experimental values. | ||
- | * The answer was given by the Akaike and | + | * The answer was given by the Akaike and Schwarz criteria : |
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METTRE LES CRITERS | METTRE LES CRITERS |
Revision as of 11:06, 3 September 2008
(Under Construction) Model Comparison
We mostly used the definition of the criteria given in : [http://www.liebertonline.com/doi/pdf/10.1089/rej.2006.9.324 K. Kikkawa.Statistical issue of regression analysis on development of an age predictive equation. Rejuvenation research, Volume 9, n°2, 2006.] |