• DocumentCode
    1245112
  • Title

    Survival exponential entropies

  • Author

    Zografos, Konstantinos ; Nadarajah, Saralees

  • Author_Institution
    Dept. of Math., Univ. of Ioannina, Greece
  • Volume
    51
  • Issue
    3
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    1239
  • Lastpage
    1246
  • 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;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2004.842772
  • Filename
    1397968
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1245112