AIC
Units & Measurements abbreviation · Statistics
| Stands for | Akaike information criterion |
|---|---|
| Categories | Units & Measurements |
AIC stands for Akaike information criterion, a statistics abbreviation.
A model-selection score that balances goodness of fit against complexity: AIC = 2k − 2 ln(L), where k is the number of parameters and L the maximized likelihood. Lower AIC indicates a better trade-off.
Example: The model with seasonality had the lowest AIC (412.3 vs 430.8), so it was retained.
Usage notes
Japanese statistician Hirotugu Akaike developed it in the early 1970s. Only differences in AIC between models fitted to the same data matter, and a difference of more than about 2 is often treated as meaningful. The corrected version AICc is preferred for small samples.
Related abbreviations
More statistics abbreviations
- a.s. – Almost surely
- ACF – Autocorrelation function
- ANCOVA – Analysis of covariance
- ANOVA – Analysis of variance
- ARIMA – Autoregressive integrated moving average
- ATE – Average treatment effect
- avg – Average
- BIC – Bayesian information criterion
- BLUE – Best linear unbiased estimator
- CDF – Cumulative distribution function
- CFA – Confirmatory factor analysis
- CI – Confidence interval