Abstract
We consider the problem of assessing long-term trends of ozone concentrations measured on a single site located in an urban area. Among the many methods proposed in the literature to eliminate the confounding effect of changing weather conditions, we employ a stratification of daily maxima based on regression trees. Within each stratum conditional independence and Weilbull distribution are assumed for maxima. Long-term trend is defined non-parametrically by the sequence of yearly medians. Models are estimated following the Bayesian approach. The alternative assumptions of common and stratum specific trends are compared and a model with common trend for all strata is selected for the analyzed real dataset. The conditional independence assumption is checked by the comparison with a model including an autoregressive component. © Springer Science+Business Media, Inc. 2005.
Lingua originale | English |
---|---|
pagine (da-a) | 195-208 |
Numero di pagine | 14 |
Rivista | Environmental and Ecological Statistics |
Volume | 12 |
DOI | |
Stato di pubblicazione | Pubblicato - 2005 |
Keywords
- McMC
- Regression trees
- Weibull distribution