@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},