Information 2010, 1(1), 13-27; doi:10.3390/info1010013
Article

New Information Measures for the Generalized Normal Distribution

Department of Mathematics, Agiou Spyridonos & Palikaridi, Technological Educational Institute of Athens, 12210 Egaleo, Athens, Greece
* Author to whom correspondence should be addressed.
Received: 24 June 2010; in revised form: 4 August 2010 / Accepted: 5 August 2010 / Published: 20 August 2010
(This article belongs to the Special Issue What Is Information?)
PDF Full-text Download PDF Full-Text [576 KB, uploaded 20 August 2010 14:40 CEST]
Abstract: We introduce a three-parameter generalized normal distribution, which belongs to the Kotz type distribution family, to study the generalized entropy type measures of information. For this generalized normal, the Kullback-Leibler information is evaluated, which extends the well known result for the normal distribution, and plays an important role for the introduced generalized information measure. These generalized entropy type measures of information are also evaluated and presented.
Keywords: entropy power; information measures; Kotz type distribution; Kullback-Leibler information

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Kitsos, C.P.; Toulias, T.L. New Information Measures for the Generalized Normal Distribution. Information 2010, 1, 13-27.

AMA Style

Kitsos CP, Toulias TL. New Information Measures for the Generalized Normal Distribution. Information. 2010; 1(1):13-27.

Chicago/Turabian Style

Kitsos, Christos P.; Toulias, Thomas L. 2010. "New Information Measures for the Generalized Normal Distribution." Information 1, no. 1: 13-27.

Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert