Several methods of analyzing extreme values are now known, most based on the extreme value limit distributions or related families. This paper reviews these techniques and proposes some extensions based on the point-process view of high-level exceedances. These ideas are illustrated with a detailed analysis of ozone data collected in Houston, Texas. There is particular interest in whether they is any trend in the data. The analysis reveals no trend in the overall levels of the series, but a marked downward trend in the extreme values.
Publié le : 1989-11-14
Classification:
Atmospheric pollution,
clustered point processes,
environmental time series,
exceedances,
extreme values,
Generalized Extreme Value distribution,
Generalized Pareto distribution,
maximum likelihood,
nonhomogeneous Poisson process,
ozone,
return levels
@article{1177012400,
author = {Smith, Richard L.},
title = {Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone},
journal = {Statist. Sci.},
volume = {4},
number = {4},
year = {1989},
pages = { 367-377},
language = {en},
url = {http://dml.mathdoc.fr/item/1177012400}
}
Smith, Richard L. Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone. Statist. Sci., Tome 4 (1989) no. 4, pp. 367-377. http://gdmltest.u-ga.fr/item/1177012400/