Statistics

• Akaike information criterion
  Akaike information criterion
  The Akaike information criterion is a measure of the relative goodness of fit of a statistical model. It was developed by Hirotsugu Akaike, under the name of "an information criterion" , and was first published by Akaike in 1974...
  
   (AIC), a measure of the goodness fit of an estimated statistical model
• Bayesian information criterion (BIC), also known as the Schwarz information criterion, a statistical criterion for model selection
• Deviance information criterion
  Deviance information criterion
  The deviance information criterion is a hierarchical modeling generalization of the AIC and BIC . It is particularly useful in Bayesian model selection problems where the posterior distributions of the models have been obtained by Markov chain Monte Carlo simulation...
  
   (DIC), another Bayesian oriented model selection criterion
• Focused information criterion
  Focused information criterion
  In statistics, the focused information criterion is a method for selecting the most appropriate model among a set of competitors for a given data set...
  
   (FIC), a selection criterion sorting statistical models by their effectiveness for a given focus parameter
• Hannan-Quinn information criterion
  Hannan-Quinn information criterion
  In statistics, the Hannan-Quinn information criterion is a criterion for model selection. It is an alternative to Akaike information criterion and Bayesian information criterion...
  
  , an alternative to the Akaike and Bayesian criteria