یازدهمین سمینار احتمال و فرآیند های تصادفی , 2017-08-30

Title : ( Entropy maximization and divergence minimization based on inequality measures )

Authors: Gholam Reza Mohtashami Borzadaran , Ali Khosravi Tanak ,

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Abstract

The maximum entropy and minimum divergence approaches for estimating the prob- ability density functions has been widely used in many research areas, particularly in economics. In economics and the social sciences, approximating income distribution with regard to income inequality in society is of interest. In this paper, we review the entropy maximization with some inequality measures constraints and generalize the maximum entropy and minimum divergence ap- proaches from shannon entropy to generalized entropy by considering income inequality measures.

Keywords

, Entropy, Maximum entropy, Generalized Gini index, Minimum divergence, Inequality measures.
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@inproceedings{paperid:1065285,
author = {Mohtashami Borzadaran, Gholam Reza and Khosravi Tanak, Ali},
title = {Entropy maximization and divergence minimization based on inequality measures},
booktitle = {یازدهمین سمینار احتمال و فرآیند های تصادفی},
year = {2017},
location = {قزوین, IRAN},
keywords = {Entropy; Maximum entropy; Generalized Gini index; Minimum divergence; Inequality measures.},
}

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%0 Conference Proceedings
%T Entropy maximization and divergence minimization based on inequality measures
%A Mohtashami Borzadaran, Gholam Reza
%A Khosravi Tanak, Ali
%J یازدهمین سمینار احتمال و فرآیند های تصادفی
%D 2017

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