Statistical Modelling of Wind Speed Data for Mauritius

Autor:	DHUNNY, Asma Zaynah, LOLLCHUND, Roddy Michel, BOOJHAWON, Ravindra, RUGHOOPUTH, Soonil D.d.v.
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	Goodness-of-fit tests Mauritius Statistical analysis Probability Density Functions
Zdroj:	Volume: 4, Issue: 4 1056-1064 International Journal Of Renewable Energy Research
ISSN:	1309-0127
Popis:	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 %.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=tubitakulakb::1bc88fc10d988ea5485a710c03794ca3 https://dergipark.org.tr/tr/pub/ijrer/issue/16073/168046 Zobrazit plný text záznamu