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Non Stationary Time Series Analysis of Global Temperature Anamolies

Wednesday, November 14, 2001 - 11:00am - 12:00pm
Keller 3-180
Tata Subba Rao (University of Science and Technology in Manchester (UMIST))
Joint work with Eleni Tsolaki, University of Manchester Institute of Science and Technology, Manchester, UK.

There is a great interest in detecting whether there are changes in Global temperatures, and if there are changes to find variables which are responsible for these. We use evolutionary spectral methods to detect for changes (structural) ,and also describe statistical tests for linearity and Gaussianity of nonstationary time series. These are used to find suitable time series models for temperature data. Forecasting aspects are also considered.