English

$\kappa$-generalization of Gauss' law of error

Statistical Mechanics 2015-06-25 v1

Abstract

Based on the κ\kappa-deformed functions (κ\kappa-exponential and κ\kappa-logarithm) and associated multiplication operation (κ\kappa-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 κ\kappa-product. This κ\kappa-generalized maximum likelihood principle leads to the {\it so-called} κ\kappa-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