How to Calculate Consistent AIC

The Akaike Information Criterion (AIC) is a method to determine the best model from a series of different mathematical models. The correct model is the one closest to the truth of the value you are seeking. In addition, it tries to minimize the amount of parameters to be as holistic as possible.

Instructions

    • 1

      List all of the potential mathematical models that you can use to find the value that you are seeking. Determine the probability that each is correct by using the formulas for the calculation and then independently measuring a value. The percentage of the actual value is the "likelihood" that the model is correct.

    • 2

      Use the formula for AIC to apply the likelihood factor. The formula is negative two times the log of the probability plus two K, where K is the number of parameters in a formula.

      AIC = -2 (ln (likelihood) ) + 2K

    • 3

      Calculate the consistent AIC values with zero being the best value and higher values representing formulas that are further from the truth. Mark each value next to the formulas on your list and find the lowest AIC score.

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