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Estimating Long-Term Trends in Tropospheric Ozone Levels

  • Smith, M.
  • Yau, P.
  • Shively, T.
  • Kohn, R.

This paper estimates the long-term trends in the daily maxima of tropospheric ozone at six sites around the state of Texas. The statistical methodology we use controls for the effects of meteorological variables because it is known that variables such as temperature, wind speed and humidity substantially affect the formation of tropospheric ozone. A nonparametric regression model is estimated in which a general trivaraite surface is used to model the relationship between ozone and these meteorological variables because there is little, or no, theory to specify the functional dependence of ozone on these variables.

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Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 2/98.

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Length: 26 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:msh:ebswps:1998-2
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