This article is
- freely available
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
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 StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
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.
Kitsos CP, Toulias TL. New Information Measures for the Generalized Normal Distribution. Information. 2010; 1(1):13-27.
Kitsos, Christos P.; Toulias, Thomas L. 2010. "New Information Measures for the Generalized Normal Distribution." Information 1, no. 1: 13-27.