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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

Masato Ishiguro
Affiliation:
The Research Institute of Atmospherics, Nagoya University, Toyokawa, 442Japan
Makio Ishiguro
Affiliation:
The Institute of Statistical Mathematics, Tokyo, Japan

Abstract

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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).

Type
Part VI: Other Image Improvement Methods
Copyright
Copyright © Reidel 1979

References

Akaike, H.: 1973, Information Theory and an Extension of the Maximum Likelihood Principle, in 2nd International Symposium on Information Theory (Petrov, B.N. and Csaki, F., eds) pp.207281, Akademiai Kiado, Budapest.Google Scholar
Akaike, H.: 1977, On Entropy Maximization Principle, in APPLICATION OF STATISTICS (Krishnaiah, P.R., ed.) pp.2741, North-Holland Publishing Company.Google Scholar
Davidon, W.C.: 1968, Computer, J., vol.10, pp.406410.Google Scholar
Davidon, W.C.: 1969, Optimization (Fletcher, R. ed.) pp.1320, Academic Press, London.Google Scholar
Fomalont, E.B.: 1968, Astrophys. J. Suppl. 15, pp.203273.CrossRefGoogle Scholar
Högbom, J.A.: 1974, Astron. & Astrophys. Suppl. 15, pp.417426.Google Scholar
Gull, S.F. and Daniell, G.J.: 1978, Nature, vol.272, pp.686690.Google Scholar