Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
In recent years, the application of resampling methods to dependent data, such as time series or spatial data, has been a growing field in the study of statistics. In this dissertation, we discuss two such applications. In spatial statistics, the reliability of Kriging prediction methods relies on t...
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| Format: | Others |
| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8929 |