This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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632
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Type:
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Contributed
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Date/Time:
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Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract - #309078 |
Title:
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Bootstrap-Based Trans-Gaussian Kriging
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Author(s):
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Krista Rister*+ and Soumendra Nath Lahiri
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Companies:
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Texas A&M University and Texas A&M University
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Address:
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, , ,
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Keywords:
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boostrap ;
Kriging ;
Trans-Gaussian
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Abstract:
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In spatial statistics, the reliability of Kriging prediction methods relies on the observations coming from an underlying Gaussian process. When the observed data set is not from a multivariate Gaussian distribution, but rather is a transformation of Gaussian data, Kriging methods can produce biased predictions. Bootstrap resampling methods present a potential bias correction. We propose a parametric bootstrap methodology for the calculation of a multiplicative bias correction factor when dealing with trans-Gaussian data. Furthermore, we investigate the asymptotic properties. Finally, we present the results for both simulated and real world data.
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Authors who are presenting talks have a * after their name.
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