@article{(Open Science Index):https://publications.waset.org/pdf/12983, title = {Modelling Extreme Temperature in Malaysia Using Generalized Extreme Value Distribution}, author = {Husna Hasan and Norfatin Salam and Mohd Bakri Adam}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Mathematical and Computational Sciences}, volume = {7}, number = {6}, year = {2013}, pages = {983 - 989}, ee = {https://publications.waset.org/pdf/12983}, url = {https://publications.waset.org/vol/78}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 78, 2013}, }