On generalized information and divergence measures and their applicationsa brief review

1. Taneja, Inder Jeet
2. Pardo Llorente, Leandro
3. Morales González, Domingo
4. Menéndez, Maria Luisa

Export

Export

×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Export

×

This document cannot be exported because it belongs to another portal.

Full text

lock_openFull text externo

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Questiió: Quaderns d'Estadística, Sistemes, Informatica i Investigació Operativa

Abstract

The aim of this review is to give different two-parametric generalizations of the following measures: directed divergence (Kullback and Leibler, 1951), Jensen difference divergence (Burbea and Rao 1982 a,b; Rao, 1982) and Jeffreys invariant divergence (Jeffreys, 1946). These generalizations are put in the unified expression and their properties are studied. The applications of generalized information and divergence measures to comparison of experiments and the connections with Fisher information measure are also given.

Data source: Dialnet