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Burrell, Q.L.: On Egghe's version of continuous concentration theory (2006) 0.02

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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.

Burrell, Q.L.: Measuring similarity of concentration between different informetric distributions : two new approaches (2005) 0.01

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Source: Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.704-714
Year: 2005

Burrell, Q.L.: Egghe's construction of Lorenz curves resolved (2007) 0.01
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Abstract

In a recent article (Burrell, 2006), the author pointed out that the version of Lorenz concentration theory presented by Egghe (2005a, 2005b) does not conform to the classical statistical/econometric approach. Rousseau (2007) asserts confusion on our part and a failure to grasp Egghe's construction, even though we simply reported what Egghe stated. Here the author shows that Egghe's construction rather than including the standard case, as claimed by Rousseau, actually leads to the Leimkuhler curve of the dual function, in the sense of Egghe. (Note that here we distinguish between the Lorenz curve, a convex form arising from ranking from smallest to largest, and the Leimkuhler curve, a concave form arising from ranking from largest to smallest. The two presentations are equivalent. See Burrell, 1991, 2005; Rousseau, 2007.)

Burrell, Q.L.: Predicting future citation behavior (2003) 0.01

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Date: 29. 3.2003 19:22:48

Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.01

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Date: 26.12.2007 19:22:05

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