Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/15849| Title: | A Periodic State Space Model to Monthly Long-term Temperature Data |
| Author: | Costa, Marco Monteiro, Magda |
| Keywords: | State space model Kalman filter Periodic data Monthly temperature |
| Issue Date: | Jun-2016 |
| Abstract: | This work presents a periodic state space model to model monthly temperature data. Additionally, some issues are discussed, as the parameter estimation or the Kalman filter recursions adapted to a periodic model. This framework is applied to monthly long-term temperature time series of Lisbon. |
| Peer review: | yes |
| URI: | http://hdl.handle.net/10773/15849 |
| ISSN: | 978-84-608-8178-0 |
| Publisher Version: | biometria.sgapeio.es/ |
| Appears in Collections: | ESTGA - Comunicações |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CostaMonteiro_BIOAPP2016.pdf | documento principal | 1.22 MB | Adobe PDF | View/Open |
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