Team:Paris/Modeling/BOB/Akaike

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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.
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* The answer was given by the Akaike and schwarz criteria.
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* 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
  • 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 Schwarz criteria :




METTRE LES CRITERS EXPLIQUER THEORIE INFO RAPID EXPLIQUER DIFFERENCE ENTRE CRITERES EXPLIQUER PROTOCOL SIMULATION DONNER RESULTS Mettre prgrms eventually



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.]