Flexible Mixed-Effect Modeling of Functional Data, with Applications to Process Monitoring
High levels of automation in manufacturing industries are leading to data sets of increasing size and dimension. The challenge facing statisticians and field professionals is to develop methodology to help meet this demand. Functional data is one example of high-dimensional data characterized by obs...
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| Format: | Others |
| Language: | en |
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2007
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| Online Access: | http://hdl.handle.net/10012/3104 |