Statistical Modelling of Wind Speed Data for Mauritius

Year 2014, Volume: 4 Issue: 4, 1056 - 1064, 01.12.2014

Asma Zaynah Dhunny Roddy Michel Lollchund Ravindra Boojhawon Soonil D.d.v. Rughooputh

Abstract

This paper focused on the statistical modelling of wind speed data observed at two locations in Mauritius using some standard probability distribution functions (PDF). The objective was to determine the best PDF which can represent the yearly wind speed data. The PDFs considered were Weibull, Rayleigh, Lognormal, Gamma, Normal and Frechet. The parameters for each PDF were estimated from the data using the Maximum Likelihood Estimation (MLE) technique. The Chi-Square (C-S), Kolmogorov-Smirnov (K-S) and Anderson-Darling (A-D) goodness-of-fit (GOF) tests were utilized to assess the effectiveness of the PDFs. For both locations all three GOF tests revealed that the Weibull and Burr distributions fit the data when the significance level is less than 5 %.

Keywords

Goodness-of-fit tests; Mauritius; Statistical analysis; Probability Density Functions.

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