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Extending the Akaike Information Criterion to Mixture Regression Models

Journal of the American Statistical Association, 2007
Prasad A Naik   +2 more
exaly  

Akaike information criterion statistics

Mathematics and Computers in Simulation, 1987
openaire   +1 more source

The Akaike information criterion in weighted regression of immittance data

Electrochimica Acta, 2019
Roy Johnsen, David Harrington
exaly  

Robust Akaike Information Criterion for ARMA models

2004
A 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].
openaire   +1 more source

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