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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
AIP Publishing LLC
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/57200/1/Bayesian%20extreme%20modeling%20for%20non-stationary%20air%20quality%20data.pdf http://psasir.upm.edu.my/id/eprint/57200/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|