Some information measures of power-law distributions

dc.contributor.author	Yapage, N.
dc.date.accessioned	2023-01-27T06:38:23Z
dc.date.available	2023-01-27T06:38:23Z
dc.date.issued	2014-01-22
dc.identifier.issn	1391-8796
dc.identifier.uri	http://ir.lib.ruh.ac.lk/xmlui/handle/iruor/10422
dc.description.abstract	When the probability of measuring a particular value of some quantity varies inversely as a power of that value, the quantity is said to follow a power law. Power laws can be seen very frequently in physics, biology, earth and planetary sciences, economics and finance, computer science and the social sciences. In this paper, several important information measures of power-law distributions are calculated with continuous random variables such as differential entropy, information divergence and Fisher information.	en_US
dc.language.iso	en	en_US
dc.publisher	Faculty of Science, University of Ruhuna, Matara, Sri Lanka	en_US
dc.subject	Differential entropy	en_US
dc.subject	Fisher information	en_US
dc.subject	information divergence	en_US
dc.subject	power-law distributions	en_US
dc.title	Some information measures of power-law distributions	en_US
dc.type	Article	en_US