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

Authors

  • 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 the

minimum least squared method is described. A step-by-step application process

of this distribution model is offered. To illustrate the application process data

collected and studied by Oliveira on Jackfruit literature was used. The generalized

inverse power distribution by the minimum least squared method and the

Kolmogorov-Smirnov test was used to evaluate the fit of the observed and

expected data. With n = - 2.14 and C = 0.648715 at 0,01 level of significance, a

critical 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

Issue

No. 12 (2005)

Section

Articles

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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