Bayesian extreme for modeling high PM10 concentration in Johor

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Bayesian extreme for modeling high PM10 concentration in Johor

The aim of this study is to determine the behavior of extreme PM10 levels monitored at three air monitoring stations in Johor using frequentist and Bayesian technique. Bayesian allows priors or additional information about the data into the analysis which expectedly improve the model fit. The genera...

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Bibliographic Details
Main Authors:	Mohd Amin, Nor Azrita, Adam, Mohd Bakri, Aris, Ahmad Zaharin
Format:	Article
Language:	English
Published:	Elsevier 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/42919/ http://psasir.upm.edu.my/id/eprint/42919/1/42919.pdf

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