Bayesian extreme modeling for non-stationary air quality data

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Bayesian extreme modeling for non-stationary air quality data

The aim of this paper is to model the non-stationary Generalized Extreme Value distribution with a focus on Bayesian approach. The location parameter is expressed in terms of linear trend over the time period while constant for both scale and shape parameters. This study also explores the informativ...

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Bibliographic Details
Main Authors:	Mohd Amin, Nor Azrita, Adam, Mohd Bakri, Ibrahim, Noor Akma, Aris, Ahmad Zaharin
Format:	Conference or Workshop Item
Language:	English
Published:	AIP Publishing LLC 2013
Online Access:	http://psasir.upm.edu.my/id/eprint/57200/ http://psasir.upm.edu.my/id/eprint/57200/1/Bayesian%20extreme%20modeling%20for%20non-stationary%20air%20quality%20data.pdf

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