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November, 1989 Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone
Richard L. Smith
Statist. Sci. 4(4): 367-377 (November, 1989). DOI: 10.1214/ss/1177012400

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.

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Richard L. Smith. "Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone." Statist. Sci. 4 (4) 367 - 377, November, 1989. https://doi.org/10.1214/ss/1177012400

Information

Published: November, 1989
First available in Project Euclid: 19 April 2007

zbMATH: 0955.62646
MathSciNet: MR1041763
Digital Object Identifier: 10.1214/ss/1177012400

Rights: Copyright © 1989 Institute of Mathematical Statistics

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Vol.4 • No. 4 • November, 1989
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