Displaced calibration of PM10 measurements using spatio-temporal models
PM10 monitoring networks are equipped with heterogeneous samplers. Some of these samplers are known to underestimate true levels of concentrations (non-reference samplers). In this paper we propose a hierarchical spatio-temporal Bayesian model for the calibration of measurements recorded using non-r...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Bologna
2007-12-01
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| Series: | Statistica |
| Online Access: | http://rivista-statistica.unibo.it/article/view/491 |
| _version_ | 1818538158562738176 |
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| author | Daniela Cocchi Fedele Greco Carlo Trivisano |
| author_facet | Daniela Cocchi Fedele Greco Carlo Trivisano |
| author_sort | Daniela Cocchi |
| collection | DOAJ |
| description | PM10 monitoring networks are equipped with heterogeneous samplers. Some of these samplers are known to underestimate true levels of concentrations (non-reference samplers). In this paper we propose a hierarchical spatio-temporal Bayesian model for the calibration of measurements recorded using non-reference samplers, by borrowing strength from non co-located reference sampler measurements. |
| first_indexed | 2024-12-11T21:25:24Z |
| format | Article |
| id | doaj.art-100b94900d384a36ae83a4e4c307f903 |
| institution | Directory Open Access Journal |
| issn | 0390-590X 1973-2201 |
| language | English |
| last_indexed | 2024-12-11T21:25:24Z |
| publishDate | 2007-12-01 |
| publisher | University of Bologna |
| record_format | Article |
| series | Statistica |
| spelling | doaj.art-100b94900d384a36ae83a4e4c307f9032022-12-22T00:50:20ZengUniversity of BolognaStatistica0390-590X1973-22012007-12-0166212713810.6092/issn.1973-2201/491478Displaced calibration of PM10 measurements using spatio-temporal modelsDaniela Cocchi0Fedele Greco1Carlo Trivisano2Alma Mater Studiorum - Università di BolognaAlma Mater Studiorum - Università di BolognaAlma Mater Studiorum - Università di BolognaPM10 monitoring networks are equipped with heterogeneous samplers. Some of these samplers are known to underestimate true levels of concentrations (non-reference samplers). In this paper we propose a hierarchical spatio-temporal Bayesian model for the calibration of measurements recorded using non-reference samplers, by borrowing strength from non co-located reference sampler measurements.http://rivista-statistica.unibo.it/article/view/491 |
| spellingShingle | Daniela Cocchi Fedele Greco Carlo Trivisano Displaced calibration of PM10 measurements using spatio-temporal models Statistica |
| title | Displaced calibration of PM10 measurements using spatio-temporal models |
| title_full | Displaced calibration of PM10 measurements using spatio-temporal models |
| title_fullStr | Displaced calibration of PM10 measurements using spatio-temporal models |
| title_full_unstemmed | Displaced calibration of PM10 measurements using spatio-temporal models |
| title_short | Displaced calibration of PM10 measurements using spatio-temporal models |
| title_sort | displaced calibration of pm10 measurements using spatio temporal models |
| url | http://rivista-statistica.unibo.it/article/view/491 |
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