Statistical Monitoring and Modeling for Spatial Processes
Statistical process monitoring and hierarchical Bayesian modeling are two ways to learn more about processes of interest. In this work, we consider two main components: risk-adjusted monitoring and Bayesian hierarchical models for spatial data. Usually, if prior information about a process is known,...
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| Format: | Others |
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Virginia Tech
2017
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| Online Access: | http://hdl.handle.net/10919/76664 |