Probability distributions of wind speed historical data series in mossoró, northeastern Brazil
International Journal of Development Research
Probability distributions of wind speed historical data series in mossoró, northeastern Brazil
Received 18th September, 2017; Received in revised form 10th October, 2017; Accepted 27th November, 2017; Published online 29th December, 2017
Copyright ©2017, Janilson Pinheiro de Assis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
We studied seven probability distributions (Normal, Log-Normal, Beta, Gamma, Log-Pearson Type III, Gumbel, and Weibull) to verify their adjustment to historical data series of average monthly wind speed in the municipality of Mossoró, northeastern Brazil. To verify the goodness of fit of data to these models, we applied the Maximum Likelihood Logarithm and the Kolmogorov-Smirnov, Kuiper, Cramer-von Mises, Anderson-Darling, and Chi-squared tests at a significance level of 10%, totaling 504 tests. The Gumbel probability distribution provided the best fit for the data of monthly wind speed. All the criteria used to verify the goodness of fit were concordant, except the Maximum Likelihood Logarithm for some adjusted periods and models.
