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Activity Number:
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32
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #309322 |
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Title:
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Change Point Analysis for Water Pressure Data
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Author(s):
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Snehalata Huzurbazar and Arunendu Chatterjee*+
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Companies:
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University of Wyoming and University of Wyoming
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Address:
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354 Soule Street Apt 287 , Laramie, WY, 82072,
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Keywords:
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glacial hydrology ; change points ; wavelet coefficients
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Abstract:
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Our objective is to identify and model change points in the measurements of sub-glacial water pressure during melt season along the length of the Bench glacier in Alaska. This modeling will provide insights into the sub-glacial hydrology including the discharge mechanism during the melt season. As a first step in this modeling, we consider the identification of change points in the twenty water pressure data sets available. We compare an existing wavelet based method suggested by Wang (1995), which examines the empirical wavelet coefficients of the data at the fine scale levels with a Bayesian method based on the empirical wavelet coefficients for the standard change point problem by Ogden (1996). The above methods have to be adapted for accommodating missing observations, which are present in our datasets.
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