The scientific productivity of authors: an application model of Lotka´s law by the generalized inverse power method
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 general...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
| Publicado: |
Universidad de Buenos Aires, Facultad de Filosofía y Letras
2005
|
| Materias: | |
| Acceso en línea: | https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/904 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=904_oai |
| Aporte de: |
| Sumario: | 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. |
|---|