The scientific productivity of authors: an application model of Lotka´s law by the generalized inverse power method

  • Rubén Urbizagástegui Alvarado University of California, Riverside, University Libraries, P.O. Box 5900. Riverside, California 92517-5900.
DOI: https://doi.org/10.34096/ics.i12.904
Keywords: Lotka’s law, Generalized inverse power distribution, Author’s productivity, Bibliometrics, Jackfruit, Infometrics, Scientometrics

Abstract

The nature of the generalized inverse power distribution by theminimum least squared method is described. A step-by-step application processof this distribution model is offered. To illustrate the application process datacollected and studied by Oliveira on Jackfruit literature was used. The generalizedinverse power distribution by the minimum least squared method and theKolmogorov-Smirnov test was used to evaluate the fit of the observed andexpected data. With n = - 2.14 and C = 0.648715 at 0,01 level of significance, acritical value of 0.202177 with a maximum deviation of 0.151285, was observed.Therefore, the literature fits Lotka’s model.

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Published
2005-06-01
How to Cite
Urbizagástegui Alvarado, R. (2005). The scientific productivity of authors: an application model of Lotka´s law by the generalized inverse power method. Información, Cultura Y Sociedad, (12), 51-73. https://doi.org/10.34096/ics.i12.904
Issue
No 12 (2005)
Section
Articles

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