Statistical Analysis of Wind Speed Data in Pakistan
نویسندگان
چکیده
In the present study an effort has been made to find out the best fitting distribution of wind speed data recorded in Islamabad on a daily basis for the years 2001 to 2003. For this purpose two parameter Gamma, Weibull, Lognormal, Rayleigh, three parameter Burr and Frechet distributions are fitted to data and parameters for each distribution are estimated using the Maximum Likelihood (ML) method. The performance of the distributions are evaluated using three Goodness of Fit (GOF) tests namely Chi-Squared (CS), Kolmogorove-Smirnove (KS) and Anderson Darling (AD) test, Further, the fitted graphics of Cumulative Distribution Function (CDF), Probability Distribution Function (PDF) and Probability Probability (PP) plots are used to confirm the GOF for the above six distributions. Finally, graphical and GOF results are compared suggesting that Burr, Lognormal and Gamma distributions are found to be most appropriate as compared to the Weibull, Rayleigh and Frechet distributions.
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