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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| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
AIP Publishing LLC
2013
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| オンライン･アクセス: | 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/ |
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