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.
* The answer was given by the Akaike and Schwarz criteria :
* The answer was given by the Akaike and Schwarz criteria :
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[[Image:AIC.jpg|center]]
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[[Image:AICc.jpg|center]]
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[[Image:BIC.jpg|center]]

Revision as of 11:51, 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 :
AIC.jpg
AICc.jpg
BIC.jpg




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 : K. Kikkawa.Statistical issue of regression analysis on development of an age predictive equation. Rejuvenation research, Volume 9, n°2, 2006.

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