4.7 Article

Modelling air pollution data by the skew-normal distribution

Journal

Publisher

SPRINGER
DOI: 10.1007/s00477-009-0341-z

Keywords

Anderson-Darling statistic; Asymptotic approximation; Maximum likelihood; PM(10); Skew-normal distribution

Funding

  1. Ministero dell'Universita, dell'Istruzione e della Ricerca [2006132978]

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Particulate matter with an aerodynamic equivalent diameter of up 10 mu m is commonly referred to as PM(10) and its harmful effects on human health are well known. We model annual means of daily concentrations of PM(10) in Italy by the skew-normal distribution, giving theoretical as well as empirical motivations for the model's choice. Its adequacy is checked through Anderson-Darling statistic. The skew-normal distribution gives a very good fit to the data and it is particularly useful in estimating probabilities of high PM(10) concentrations.

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