Non-Gaussian likelihood function and COBE data
We generalize the maximum likelihood method to non-Gaussian distribution functions by means of the multivariate Edgeworth expansion. We stress the potential interest in this technique for all those cosmological problems in which the determination of a non-Gaussian signature is relevant, e.g. in the...
Gespeichert in:
| 1. Verfasser: | |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
01 December 1996
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| In: |
Monthly notices of the Royal Astronomical Society
Year: 1996, Jahrgang: 283, Heft: 3, Pages: 983-989 |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/283.3.983 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1093/mnras/283.3.983 Verlag, kostenfrei, Volltext: https://academic.oup.com/mnras/article/283/3/983/1013589 
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| Verfasserangaben: | Luca Amendola |
MARC
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| 520 | |a We generalize the maximum likelihood method to non-Gaussian distribution functions by means of the multivariate Edgeworth expansion. We stress the potential interest in this technique for all those cosmological problems in which the determination of a non-Gaussian signature is relevant, e.g. in the analysis of large-scale structure and cosmic microwave background. The application to the COBE two-year correlation function reveals a significant displacement of the parameter confidence region with respect to the Gaussian case. | ||
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