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GUEST LECTURER
Lynne Seymour, Associate Professor and Graduate Coordinator Department of Statistics, The University
ABSTRACT
To study monthly mean temperature trends for the continental United States, we develop a periodic linear regression model with multiple changepoints, which allows for a mean shift at each changepoint time and simultaneously estimates both trend and changepoint effects. The error component in the model is allowed to be a periodically correlated time series. The model is applied to over 900 temperature recording stations across the U.S., and a spatially smoothed map of temperature trends is presented. Overall, the results suggest more warming than is estimated in previous studies.
DATE & TIME
Thursday, April 10, 2008 -- 11:00 AM
DURATION
1 hour
LOCATION
IC 215
CONTACT PERSON
Xiaoming Huo, Associate Professor, ISyE