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Akaike's Information Criteria (AIC). The formula is: AIC = chi2 + 2k where: chi2 is the minimised chi-squared value. k is the number of parameters in the model. |
Small sample size corrected AIC. The formula is: 2k(k + 1) AICc = chi2 + 2k + --------- n - k - 1 where: chi2 is the minimised chi-squared value. k is the number of parameters in the model. n is the dimension of the relaxation data set. |
Bayesian or Schwarz Information Criteria. The formula is: BIC = chi2 + k ln n where: chi2 - is the minimised chi-squared value. k - is the number of parameters in the model. n is the dimension of the relaxation data set. |
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