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Definition: AIC
Category: Memobust Glossary
Measure of the relative goodness of fit of a statistical model AIC = 2k - 2log(lik), where k is the number of parameters in the model and lik is maximum value assumed by the likelihood function. https://ec.europa.eu/eurostat/cros/content/memobust-glossary-pdf-file_en
Source:
Eurostat, ESSnet "Memobust", "Memobust Glossary" (part of the Memobust Handbook on Methodology of Modern Business Statistics), March 2014
Eurostat, ESSnet "Memobust", "Memobust Glossary" (part of the Memobust Handbook on Methodology of Modern Business Statistics), March 2014
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