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Activity Number: 125 - Bayesian Methods for Discrete Data Problems
Type: Contributed
Date/Time: Monday, July 31, 2017 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract #324356
Title: Study of Spatiotemporal patterns and trends of extreme precipitation indices in south east USA using quantile regression
Author(s): Bhikhari Tharu*
Companies:
Keywords: Spatial ; Extreme precipitation indices ; Quantile regression ; Temporal
Abstract:

In this study, we analyze the trends in extreme precipitation in the south east United States at different temporal and spatial scales. Purpose of this study is to identify if there is a pattern emerged during the recent decades. Our analysis is based on quantile regression which does not have any choices on spatial, temporal, and intensity of extreme indices of precipitation. We have detected changes in spatial and temporal trends in south east of USA. The changes in upper tails of index distributions are at higher rates than mean trends estimated by traditional linear regression model which could have practical implications for disaster risk management.


Authors who are presenting talks have a * after their name.

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