Open Access
2009 Modeling threshold exceedance probabilities of spatially correlated time series
Dana Draghicescu, Rosaria Ignaccolo
Electron. J. Statist. 3: 149-164 (2009). DOI: 10.1214/08-EJS252


The Commission of the European Union, as well the United States Environmental Protection Agency, have set limit values for some pollutants in the ambient air that have been shown to have adverse effects on human and environmental health. It is therefore important to identify regions where the probability of exceeding those limits is high. We propose a two-step procedure for estimating the probability of exceeding the legal limits that combines smoothing in the time domain with spatial interpolation. For illustration, we show an application to particulate matter with diameter less than 10 microns (PM10) in the North-Italian region Piemonte.


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Dana Draghicescu. Rosaria Ignaccolo. "Modeling threshold exceedance probabilities of spatially correlated time series." Electron. J. Statist. 3 149 - 164, 2009.


Published: 2009
First available in Project Euclid: 28 January 2009

zbMATH: 1326.62220
MathSciNet: MR2471589
Digital Object Identifier: 10.1214/08-EJS252

Primary: 62-09
Secondary: 62G99

Keywords: PM_10 , smoothing , spatial interpolation , spatial time series , threshold exceedance probability , visualization

Rights: Copyright © 2009 The Institute of Mathematical Statistics and the Bernoulli Society

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