Abstract
In this paper, we use some non-homogeneous Poisson models in order to study the behavior of ozone measurements in Mexico City. We assume that the number of ozone peaks follows a non-homogeneous Poisson process. We consider four types of rate function for the Poisson process: power law, Musa–Okumoto, Goel–Okumoto, and a generalized Goel–Okumoto rate function. We also assume that a change-point may or may not be present. The analysis of the problem is performed by using a Bayesian approach via Markov chain Monte Carlo methods. The best model is chosen using the DIC criterion as well as graphical approach.
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Achcar, J.A., Rodrigues, E.R., Paulino, C.D. et al. Non-homogeneous Poisson models with a change-point: an application to ozone peaks in Mexico city. Environ Ecol Stat 17, 521–541 (2010). https://doi.org/10.1007/s10651-009-0114-3
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DOI: https://doi.org/10.1007/s10651-009-0114-3