Maximizable informational entropy as measure of probabilistic uncertainty

Details Maximizable informational entropy as measure of probabilistic uncertainty Maximizable informational entropy as measure of probabilistic uncertainty

2008-03-21

arxiv.org/abs/0803.3110v1

Physics

Condensed Matter

Statistical Mechanics

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Maximizable informational entropy as measure of probabilistic uncertainty does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Maximizable informational entropy as measure of probabilistic uncertainty, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Maximizable informational entropy as measure of probabilistic uncertainty will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-586996