Lotka's law, previously applied to Brazilian national literature on ten different areas, were replicated. Minimum square and maximum likelihood estimators were used. From those ten national literatures analyzed, only literatures in medicine, iron & steel, jackfruit, and library science did fit the generalized inverse power model when the method of minimum squared were used. All of them but two literatures (Veterinary and Getúlio Vargas' private letters) did not fit the inverse power model when the maximum likelihood estimator were used. For these literatures different models were tested. Veterinary literature did fit better to the negative binomial distribution, and Getúlio Vargas' private letters did fit better to the Gaussian-Poisson Inverse Generalized distribution.
Bibliometrics; Lotka's law; Author's productivity; Brazil
