Heteroscedastic latent variable modelling with applications to multivariate statistical process control
We present an approach for conducting multivariate statistical process control (MSPC) in noisy environments, i.e., when the signal to noise ratio is low, and, furthermore, noise standard deviation (uncertainty) affecting each collected value can vary over time, and is assumingly known. This approach...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2006
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| Texto completo: | http://hdl.handle.net/10316/3796 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/3796 |