%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