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Extending the Akaike Information Criterion to Mixture Regression Models
Journal of the American Statistical Association, 2007Prasad A Naik +2 more
exaly
Akaike information criterion statistics
Mathematics and Computers in Simulation, 1987openaire +1 more source
The Akaike information criterion in weighted regression of immittance data
Electrochimica Acta, 2019Roy Johnsen, David Harrington
exaly
Robust Akaike Information Criterion for ARMA models
2004A robust version of the Akaike Information Criterion (AIC) [5] is defined to the aim of selecting the order of an ARMA model. It is an extended version of the classical criterion based on weighted likelihood methodology [12]. To achieve robustness a weight is associated to each component of the conditional log–likelihood [3].
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