$\kappa$-generalization of Gauss' law of error
Statistical Mechanics
2015-06-25 v1
Abstract
Based on the -deformed functions (-exponential and -logarithm) and associated multiplication operation (-product) introduced by Kaniadakis (Phys. Rev. E \textbf{66} (2002) 056125), we present another one-parameter generalization of Gauss' law of error. The likelihood function in Gauss' law of error is generalized by means of the -product. This -generalized maximum likelihood principle leads to the {\it so-called} -Gaussian distributions.
Keywords
Cite
@article{arxiv.cond-mat/0505313,
title = {$\kappa$-generalization of Gauss' law of error},
author = {T. Wada and H. Suyari},
journal= {arXiv preprint arXiv:cond-mat/0505313},
year = {2015}
}
Comments
9 pages, 1 figure, latex file using elsart.cls style file