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Key terms: math aic model ln chi frac fit data aicc pi rss value sum given mathit tsai sigma constant variance likelihood function sample errors lowest data points statistic estimated therefore aic value measure model selection deviance mcquarrie regression divergence differences free parameters competing models goodness of fit information criterion Search external links cited by footnotes on Wikipedia page Akaike information criterion: |
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