Maximizable informational entropy as measure of probabilistic uncertainty

Autor: Ou, C. J., Kaabouchi, A. El, Nivanen, L., Tsobnang, F., Méhauté, A. Le, Wang, Qiuping A.
Rok vydání: 2008
Předmět:
Zdroj: International Journal of Modern Physics B, 24(2010)3461-3468
Druh dokumentu: Working Paper
DOI: 10.1142/S0217979210054713
Popis: In this work, we consider a recently proposed entropy S (called varentropy) defined by a variational relationship dI=beta*(d-) as a measure of uncertainty of random variable x. By definition, varentropy underlies a generalized virtual work principle =0 leading to maximum entropy d(I-beta*)=0. This paper presents an analytical investigation of this maximizable entropy for several distributions such as stretched exponential distribution, kappa-exponential distribution and Cauchy distribution.
Databáze: arXiv