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Open to the GT Campus

Statistics Seminar: An Analysis of Monthly Mean Temperature Trends in the United States


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

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