Extreme value theory for modeling and prediction of high PM10 concentration in Johor
When consider the extreme level of pollutant concentration, the Extreme Value Theory (EVT) is a best solution to model the extreme data and predict the level of dangerous concentration. This article analyzes the extreme PM10 concentration monitored at three monitoring stations in Johor. The diagnost...
Main Authors: | Mohd Amin, Nor Azrita, Adam, Mohd Bakri, Aris, Ahmad Zaharin |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Springer
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/55759/1/Extreme%20value%20theory%20for%20modeling%20and%20prediction%20of%20high%20PM10%20concentration%20in%20Johor.pdf |
Similar Items
-
Bayesian extreme for modeling high PM10 concentration in Johor
by: Mohd Amin, Nor Azrita, et al.
Published: (2015) -
Extreme value analysis for modeling high PM10 level in Johor Bahru
by: Mohd Amin, Nor Azrita, et al.
Published: (2015) -
Bivariate extreme value with application to PM10 concentration analysis
by: Mohd Amin, Nor Azrita, et al.
Published: (2014) -
Multiple-try Metropolis Hastings for modeling extreme PM10 data
by: Mohd Amin, Nor Azrita, et al.
Published: (2013) -
Bayesian extreme modeling for non-stationary air quality data
by: Mohd Amin, Nor Azrita, et al.
Published: (2013)