pith. sign in

arxiv: cond-mat/0505313 · v1 · pith:PQV6ZXQTnew · submitted 2005-05-12 · ❄️ cond-mat.stat-mech

kappa-generalization of Gauss' law of error

classification ❄️ cond-mat.stat-mech
keywords kappaerrorgaussgeneralizationgeneralizedlikelihoodproductanother
0
0 comments X
read the original abstract

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

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.