Journal of Statistics: Advances in Theory and ApplicationsAuthor's: Kesaobaka Molebatsi and K. S. Madhava Rao
Pages: [77] - [88]
Received Date: February 13, 2015
Submitted by:
DOI: http://dx.doi.org/10.18642/jsata_7100121457
Wind speed affects aviation and wind energy production, among others, it is a random variable and hence statistical procedures are relevant when analysing it. One needs to approximate wind speed probability distribution empirically so as to make any evidence based conclusions regarding the characteristics of wind speed. Monthly maximum observations for the years 2008 to 2010 from the Sir Seretse Khama International Airport-Gaborone, Botswana are used. Both Weibull and lognormal distributions are fitted to the data under maximum likelihood estimation, while Kolmogorov-Smirnov and Anderson-Darling tests are used to test the goodness of fit of these distributions. The distributions provided good fit on the monthly wind speed maximums. The results proved conclusively that monthly maximums of wind speed follow Weibull and lognormal distributions.
wind speed, monthly maximums, maximum likelihood estimation, goodness of fit.
