Fitting Malaysian wind speed via log-normal distribution

Mohamed, N.S. and Kamisan, N.A.B. and Zubairi, Y.Z. and Hussin, A.G. (2008) Fitting Malaysian wind speed via log-normal distribution. In: International Symposium on Statistics & Optimization, 29-31 Dec 2008, Aligarh, India. (Submitted)

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Abstract

Lognormal is one of the distributions in the family of the extreme distribution type. The lognormal distribution is a single tailed probability distribution of any random variables whose logarithm is normally distributed. As may be concluded by the name, the lognormal distribution has certain similarities to the normal distribution and describes many naturally occurring populations; for example, lognormal distribution has been used in many disciplines such as economics, life sciences and meteorology. Thus paper evaluates the performance of lognormal as a model to describe the Malaysian annual maximum wind speed for four locations (Alor Setar, Langkawi, Melaka and Senai). Based on rigorous tests of root mean square error, mean absolute error, and mean absolute percentage error and density plots, the results suggest that the lognormal is an adequate model in describing the maximal wind speed, thus contributing towards a better understanding of extreme wind behavior via robust statistical model.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Lognormal distribution; Maximum wind speed
Subjects: Q Science > QA Mathematics
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 23 Oct 2014 08:22
Last Modified: 31 Dec 2014 09:09
URI: http://eprints.um.edu.my/id/eprint/9308

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