University of Bahrain
Scientific Journals

Characterization of Income Distribution

Show simple item record Abouelmagd, T. H. M. Ahmed, I. A. 2018-07-31T10:45:16Z 2018-07-31T10:45:16Z 2014
dc.identifier.issn 2384-4663
dc.description.abstract Methods to measure income inequality have for quite some time now been an important subject in statistics and econometric research. Some measures are based on incomplete moments or incomplete conditional moments and they take into consideration the shape of the income distribution but suffer sometimes from low efficiency and or lack or robustness. On the other hand, in recent years a new inferential method called “the probability weighted moments” (PWM) was introduced and studies as a competitor to more traditional inferential methods such as the method of moments or the maximum likelihood method. A class of generalized measures of income inequalities using the PWM are introduced and studied. The new measures are also shown to characterize the income distributions well. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Income inequality measures
dc.subject incomplete moments
dc.subject probability weighted moments
dc.title Characterization of Income Distribution en_US
dc.type Article en_US
dc.volume 01
dc.issue 01
dc.source.title International Journal of Business and Statistical Analysis
dc.abbreviatedsourcetitle IJBSA

Files in this item

This item appears in the following Issue(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International

All Journals

Advanced Search


Administrator Account