%0 Journal Article
	%A Husna Hasan and  Norfatin Salam and  Mohd Bakri Adam
	%D 2013
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 78, 2013
	%T Modelling Extreme Temperature in Malaysia Using Generalized Extreme Value Distribution
	%U https://publications.waset.org/pdf/12983
	%V 78
	%X Extreme temperature of several stations in Malaysia is
modelled by fitting the monthly maximum to the Generalized
Extreme Value (GEV) distribution. The Mann-Kendall (MK) test
suggests a non-stationary model. Two models are considered for
stations with trend and the Likelihood Ratio test is used to determine
the best-fitting model. Results show that half of the stations favour a
model which is linear for the location parameters. The return level is
the level of events (maximum temperature) which is expected to be
exceeded once, on average, in a given number of years, is obtained.
	%P 983 - 989