Displaced calibration of PM10 measurements using spatio-temporal models
AbstractPM10 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.
How to Cite
Cocchi, D., Greco, F., & Trivisano, C. (2006). Displaced calibration of PM10 measurements using spatio-temporal models. Statistica, 66(2), 127–138. https://doi.org/10.6092/issn.1973-2201/491
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