Non-gaussian likelihood function
I present here a generalization of the maximum likelihood method and the $\chi^2$ method to the cases in which the data are {\it not} assumed to be Gaussian distributed. The method, based on the multivariate Edgeworth expansion, can find several astrophysical applications. I mention only two of them...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
1998
|
| In: |
Arxiv
|
| Online Access: | Verlag, kostenfrei, Volltext: http://arxiv.org/abs/astro-ph/9810198
|
| Author Notes: | Luca Amendola, Osservatorio Astronomico di Roma, Viale del Parco Mellini, 84, Rome 00136 - Italy |
Search Result 1
Search Result 2
