Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-26T04:45:55.315Z Has data issue: false hasContentIssue false

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

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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