On Egghe's version of continuous concentration theory.
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| Title: | On Egghe's version of continuous concentration theory. |
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| Authors: | Burrell, Quentin L.1 q.burrell@ibs.ac.im |
| Source: | Journal of the American Society for Information Science & Technology. Aug2006, Vol. 57 Issue 10, p1406-1411. 6p. 1 Graph. |
| Subjects: | Lorenz equations, Lorenz curve, Gini coefficient, Mathematical models of income distribution, Pareto optimum, Welfare economics, Bibliometrics, Information science, Random variables |
| Abstract: | In a recent article, Egghe (2005) discussed what he terms Lorenz concentration theory, covering the Lorenz curve and concentration measures such as the coefficient of variation and the Theil and Gini coefficients. In this note, we point out that neither the curve construction nor the concentration measures conform to the standard statistical/econometric definitions. We here give the standard formulations and apply them to the (truncated) Pareto distributions that are the subject of Egghe's (2005) article. We also interpret Egghe's usage. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 21626019 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On Egghe's version of continuous concentration theory. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burrell%2C+Quentin+L%2E%22">Burrell, Quentin L.</searchLink><relatesTo>1</relatesTo><i> q.burrell@ibs.ac.im</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Aug2006, Vol. 57 Issue 10, p1406-1411. 6p. 1 Graph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Lorenz+equations%22">Lorenz equations</searchLink><br /><searchLink fieldCode="DE" term="%22Lorenz+curve%22">Lorenz curve</searchLink><br /><searchLink fieldCode="DE" term="%22Gini+coefficient%22">Gini coefficient</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models+of+income+distribution%22">Mathematical models of income distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Pareto+optimum%22">Pareto optimum</searchLink><br /><searchLink fieldCode="DE" term="%22Welfare+economics%22">Welfare economics</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Random+variables%22">Random variables</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In a recent article, Egghe (2005) discussed what he terms Lorenz concentration theory, covering the Lorenz curve and concentration measures such as the coefficient of variation and the Theil and Gini coefficients. In this note, we point out that neither the curve construction nor the concentration measures conform to the standard statistical/econometric definitions. We here give the standard formulations and apply them to the (truncated) Pareto distributions that are the subject of Egghe's (2005) article. We also interpret Egghe's usage. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.20402 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 1406 Subjects: – SubjectFull: Lorenz equations Type: general – SubjectFull: Lorenz curve Type: general – SubjectFull: Gini coefficient Type: general – SubjectFull: Mathematical models of income distribution Type: general – SubjectFull: Pareto optimum Type: general – SubjectFull: Welfare economics Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Information science Type: general – SubjectFull: Random variables Type: general Titles: – TitleFull: On Egghe's version of continuous concentration theory. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burrell, Quentin L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 15322882 Numbering: – Type: volume Value: 57 – Type: issue Value: 10 Titles: – TitleFull: Journal of the American Society for Information Science & Technology Type: main |
| ResultId | 1 |
