%0 Journal Article %1 Smith1989 %A Smith, Richard L. %D 1989 %I Institute of Mathematical Statistics %J Statistical Science %K ozone Nonstationarity %N 4 %P 367-377 %T Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone %U http://www.jstor.org/stable/2245845 %V 4 %X 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.

@article{Smith1989, abstract = {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.}, added-at = {2011-09-13T09:14:17.000+0200}, articletype = {research-article}, author = {Smith, Richard L.}, biburl = {https://www.bibsonomy.org/bibtex/28b2406d534b2c9a53783bf41b095fb3a/marsianus}, copyright = {Copyright © 1989 Institute of Mathematical Statistics}, formatteddate = {Nov., 1989}, interhash = {540d614e8e0a18d3691a253506d51842}, intrahash = {8b2406d534b2c9a53783bf41b095fb3a}, issn = {08834237}, journal = {Statistical Science}, keywords = {ozone Nonstationarity}, number = 4, pages = {367-377}, publisher = {Institute of Mathematical Statistics}, timestamp = {2011-10-18T16:02:04.000+0200}, title = {Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone}, url = {http://www.jstor.org/stable/2245845}, volume = 4, year = 1989 }