Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42942
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dc.contributor.authorSarabia, José Maríaen_US
dc.contributor.authorGómez-Déniz, Emilioen_US
dc.contributor.authorSarabia, Maríaen_US
dc.contributor.authorPrieto, Faustinoen_US
dc.date.accessioned2018-11-21T11:47:07Z-
dc.date.available2018-11-21T11:47:07Z-
dc.date.issued2010en_US
dc.identifier.issn1751-1577en_US
dc.identifier.urihttp://hdl.handle.net/10553/42942-
dc.description.abstractLet L0 consider an initial Lorenz curve. In this paper we propose a general methodology for obtaining new classes of parametric Lorenz or Leimkuhler curves that contain the original curve as limiting or special case. The new classes introduce additional parameters in the original family, providing more flexibility for the new families. The new classes are built from an ordered sequence of power Lorenz curves, assuming that the powers are distributed according to some convenient discrete random variable. Using this method we obtain many of the families proposed in the literature, including the classical proposal of Bradford (1934), Kakwani and Podder (1973) and others. We obtain some inequality measures and population functions for the proposed families.en_US
dc.languageengen_US
dc.publisher1751-1577
dc.relation.ispartofJournal of Informetricsen_US
dc.sourceJournal of Informetrics[ISSN 1751-1577],v. 4, p. 524-539en_US
dc.subject1209 Estadísticaen_US
dc.subject.otherDesigualdaden_US
dc.subject.otherMediciónen_US
dc.titleA general method for generating parametric Lorenz and Leimkuhler curvesen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.joi.2010.06.002
dc.identifier.scopus77956484943-
dc.identifier.isi000281616200008
dc.contributor.authorscopusid6701455820
dc.contributor.authorscopusid15724912000
dc.contributor.authorscopusid8549757700
dc.contributor.authorscopusid26667992500
dc.description.lastpage539-
dc.description.firstpage524-
dc.relation.volume4-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid311897
dc.contributor.daisngid610603
dc.contributor.daisngid2755941
dc.contributor.daisngid31451971
dc.contributor.wosstandardWOS:Sarabia, JM
dc.contributor.wosstandardWOS:Gomez-Deniz, E
dc.contributor.wosstandardWOS:Sarabia, M
dc.contributor.wosstandardWOS:Prieto, F
dc.date.coverdateOctubre 2010
dc.identifier.ulpgces
dc.description.jcr3,119
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.ssciSSCI
dc.description.erihplusERIH PLUS
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-5072-7908-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameGómez Déniz, Emilio-
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