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Akaike or Bayesian information criteria

`aic = aicbic(logL,numParam)`

```
[aic,bic]
= aicbic(logL,numParam,numObs)
```

returns Akaike information
criteria (AIC) corresponding to optimized loglikelihood function
values (`aic`

= aicbic(`logL`

,`numParam`

)`logL`

), as returned by `estimate`

,
and the model parameters, `numParam`

.

[1] Box, G. E. P., G. M. Jenkins, and G. C. Reinsel. Time Series Analysis: Forecasting and Control. 3rd ed. Englewood Cliffs, NJ: Prentice Hall, 1994.

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