Recently, Rao et al.(2004) introduced an alternative measure of uncertainty known as the
cumulative residual entropy (CRE). It is based on the survival (reliability) function F̅ instead …

The best policy for an insurance company is that which lasts for a long period of time and is
less uncertain with reference to its claims. In information theory, entropy is a measure of the …

The cumulative residual entropy (CRE), introduced by Rao et al.(2004)[23], is viewed as a
dynamic measure of uncertainty. Recently Asadi and Zohrevand (2007)[2] proposed a …

We consider dynamic versions of the mutual information of lifetime distributions, with a focus
on past lifetimes, residual lifetimes, and mixed lifetimes evaluated at different instants. This …

In this paper, the residual Kullback–Leibler discrimination information measure is extended
to conditionally specified models. The extension is used to characterize some bivariate …

Recently, the concept of cumulative residual entropy (CRE) has been studied by many
researchers in higher dimensions. In this article, we extend the definition of (dynamic) …

We present contrast information, a novel application of some specific cases of relative
entropy, designed to be useful for the cognitive modelling of the sequential perception of …

In multivariate analysis, uncertainty arises from two sources: the marginal distributions of the
variables and their dependence structure. Quantifying the dependence structure is crucial …

Multivariate datasets are common in various real-world applications. Recently, copulas have
received significant attention for modeling dependencies among random variables. A copula …

In a recent paper, Kundu et al.(Metrika 79: 335–356, 2016) study the notion of cumulative
residual inaccuracy (CRI) and cumulative past inaccuracy (CPI) measures in univariate …