A relative measure of informational distance between two distributions is introduced in this
paper. For this purpose the Hellinger distance is used as it obeys to the definition of a …

This paper presents and discusses two generalized forms of the Shannon entropy, as well
as a generalized information measure. These measures are applied on a exponential-power …

This paper investigates and discusses the use of information divergence, through the widely
used Kullback–Leibler (KL) divergence, under the multivariate (generalized) γ γ-order …

The target of this paper is to discuss a generalized form of the well-known Law of Frequency
Error. This particular Law of Frequency of Errors is what is known as “Gaussian” or “Normal” …

The target of this chapter is to investigate the geometrical line of thought adopted to proceed
in quantitative methods in application. Both Euclidean and non-Euclidean geometries were …

This paper presents and discusses a number of inequalities in the area of two distinct
mathematical branches, with not that different line of thought: Statistics and Mathematical …

The study of relative measures of information between two distributions that characterizes an
Input/Output System is important for the investigation of the informational ability and …