DocumentCode
318061
Title
Generalized divergence and Gibbs´ inequality
Author
Kvålseth, Terald O.
Author_Institution
Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
2
fYear
1997
fDate
12-15 Oct 1997
Firstpage
1797
Abstract
The so-called (directed) divergence between two probability distributions is a most important measure in information theory, and its non-negativity is usually knows as Gibbs´ inequality. This paper presents a two-parameter generalization of this measure and inequality. An extension to the case of three probability distributions is also briefly discussed. Also, the case on continuous distributions is considered
Keywords
information theory; probability; statistical analysis; Gibbs inequality; continuous distributions; divergence; information theory; nonnegativity; probability distributions; two-parameter generalization; Digital audio players; Entropy; Gain measurement; Information theory; Measurement units; Mechanical engineering; Mechanical variables measurement; Probability distribution; Q measurement; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.638293
Filename
638293
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