Informational properties of transmuted distributions Journal Articles

abstract

• In this paper, we establish some informational properties of transmuted distributions. Specifically, we derive Shannon entropy, Gini?s mean difference, and Fisher and Bayes Fisher information measures of a transmuted distribution. Two extensions of Shannon entropy and Gini?s mean difference information measures are also provided. Finally, the distances between transmuted distribution and its components based on the Kullback-Leibler, chi-square and energy distance divergences are all derived.

authors

• Kharazmi, Omid
• Balakrishnan, Narayanaswamy

status

• published 

publication date

• 2021

has subject area

• 0102 Applied Mathematics (FoR)

published in

• Filomat  Journal

keywords

• Bayes Fisher information
• Chi-square divergence
• DIVERGENCE
• Energy distance divergence
• Fisher information
• Kullback-Leibler divergence
• MODELS
• Mathematics
• Mathematics, Applied
• Physical Sciences
• Science & Technology
• Shannon entropy
• Transmuted distribution

Digital Object Identifier (DOI)

• 10.2298/fil2113287k

start page

• 4287

end page

• 4303

volume

• 35

issue

• 13