Title :
Survival exponential entropies
Author :
Zografos, Konstantinos ; Nadarajah, Saralees
Author_Institution :
Dept. of Math., Univ. of Ioannina, Greece
fDate :
3/1/2005 12:00:00 AM
Abstract :
The multivariate survival function of a random vector X is used to define a broad class of entropy measures. Several properties of the proposed class are studied and explicit expressions of the measures derived for specific probabilistic models. The cumulative residual entropy, introduced by Rao et al. and Wang et al., is a particular case of the proposed class of measures.
Keywords :
Pareto distribution; entropy; probability; random processes; Shannon entropy; entropy measurement; exponential entropy; multivariate survival function; probabilistic model; random vector; Entropy; Information theory; Measurement uncertainty; Particle measurements; Physics; Probability; Random variables; Statistical distributions; Statistics; Thermodynamics; Exponential entropy; Shannon entropy; multivariate survival function;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2004.842772
