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Fitting a Gaussian Model to Aperture Synthesis Data by Akaike’s Information Criterion (AIC)
Published online by Cambridge University Press: 12 April 2016
Abstract
The problem of determining the optimum number of components in fitting a Gaussian model to aperture synthesis data is considered. As a measure of the badness of the fitted model, we propose the use of Akaike’s Information Criterion (AIC).
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- Part VI: Other Image Improvement Methods
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- Copyright © Reidel 1979
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