Statistical modelling of extreme temperature in Peninsular Malaysia

• Main Authors: Ng, Jing Lin, Chan, K H, Md Noh, Nur Ilya, Razman, Ruzaimah, Surol, Salihah, Lee, J C, Al-Mansob, Ramez
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Physics 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://irep.iium.edu.my/100123/1/100123_Statistical%20modelling%20of%20extreme%20temperature.pdf; http://irep.iium.edu.my/100123/2/100123_Statistical%20modelling%20of%20extreme%20temperature_SCOPUS.pdf; http://irep.iium.edu.my/100123/; https://iopscience.iop.org/article/10.1088/1755-1315/1022/1/012072/pdf

Extreme temperature events bring significant effects on the environment and society. Consequently, investigating the best fit for extreme temperature data is important for hydrological study and event forecasting. The main aim of this study is to determine the best fit probability distribution for m...