Multivariate Quality Control Using Loss-Scaled Principal Components
We consider a principal components based decomposition of the expected value of the multivariate quadratic loss function, i.e., MQL. The principal components are formed by scaling the original data by the contents of the loss constant matrix, which defines the economic penalty associated with specif...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1853/4916 |