displaced calibration of pm10 measurements using spatio-temporal models

Clicks: 276
ID: 184685
2007
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Abstract
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.
Reference Key
cocchi2007statisticadisplaced Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Daniela Cocchi;Fedele Greco;Carlo Trivisano
Journal advances in mathematical physics
Year 2007
DOI
10.6092/issn.1973-2201/491
URL
http://rivista-statistica.unibo.it/article/view/491
Keywords
statistics

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