A stratified model for the assessment of meteorologically adjusted trends of surface ozone

Enrico Fabrizi, Daniela Cocchi, Carlo Trivisano

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)195-208
Number of pages14
JournalEnvironmental and Ecological Statistics
Volume12
DOIs
Publication statusPublished - 2005

Keywords

  • McMC
  • Weibull distribution
  • Regression trees

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