The Akaike information criterion in weighted regression of immittance data
Date
2019
Authors
Ingdal, Mats
Johnsen, Roy
Harrington, David A.
Journal Title
Journal ISSN
Volume Title
Publisher
Electrochimica Acta
Abstract
The Akaike Information Criterion (AIC) is a powerful way to distinguish between models. It considers both the goodness-of-fit and the number of parameters in the model, but has been little used for immittance data. Application in the case of weighted complex nonlinear least squares regression, as typically used in fitting impedance or admittance data, is considered here. AIC can be used to compare different weighting schemes as well as different models. These ideas are tested for simulated and real transadmittance data for hydrogen diffusion through an iron foil in a Devanathan-Stachurski cell.
Description
Keywords
Akaike information criterion, Weighted regression, Error structure, Impedance, Maximum likelihood
Citation
Ingdal, M., Johnsen, R. & Harrington, D.A. (2019). The Akaike information criterion in weighted regression of immittance data. Electrochimica Acta, 317, 648-653. https://doi.org/10.1016/j.electacta.2019.06.030