Fitting of Statistical Distributions to Wind Speed Data

摘要

This paper investigates the probability distribution of wind speed data recorded in Faculty of Engineering, University Kebangsaan Malaysia. The wind speed data represented in the form of frequency curves show the shape of a potential model. The two-parameter Weibull distribution and lognormal distribution are adopted in this study to fit the wind speed data. The scale and shape parameters were estimated by using maximum likelihood method. The goodness-of-fit tests based on the empirical distribution function (EDF) are conducted to show that the distribution adequately fits the data. It is found from the hypothesis test that, although the two distributions are all suitable for describing the probability distribution of wind speed data, the two-parameter Weibull distribution is more appropriate than the lognormal distribution.