| Latent variable methods: Case studies in the food industry |
Nichols |
2011 |
|
| Latent variable multivariate regression modeling |
Burnham, MacGregor and Viveros-Aguilera |
1999 |
|
| Notes on the history and nature of partial least squares (PLS) modelling |
Geladi |
1988 |
|
| Product optimization and control in the latent variable space of nonlinear PLS models |
Yacoub and MacGregor |
2004 |
|
| Industrial batch data analysis using latent variable methods |
Rodrigues |
2006 |
|
| Data-based latent variable methods for process analysis, monitoring and control |
MacGregor, Yu, García-Muñoz and Flores-Cerrillo |
2005 |
|
| Mixture product design using latent variable methods |
Muteki |
2006 |
|
| Multivariate design |
Wold, Sjöström, Carlson, Lundstedt, Hellberg, Skagerberg, Wikström and Öhman |
1986 |
|
| Product design through multivariate statistical analysis of process data |
Jaeckle and MacGregor |
1998 |
|
| Quality control for batch processes using multivariate latent variable methods |
Flores-Cerrillo |
2003 |
|
| Product transfer between plants using historical process data |
Jaeckle and MacGregor |
2000 |
|
| Batch process modeling and MSPC |
Wold, Kettaneh-Wold, MacGregor and Dunn |
2009 |
|
| Interpretation of regression coefficients under a latent variable regression model |
Burnham, MacGregor and Viveros-Aguilera |
2001 |
|
| Development of inferential process models using PLS |
Kresta, Marlin and MacGregor |
1994 |
|
| Batch process improvement using latent variable methods |
García-Muñoz |
2004 |
|
| Frameworks for latent variable multivariate regression |
Burnham, Viveros-Aguilera and MacGregor |
1996 |
|
| Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS |
Kourti, Nomikos and MacGregor |
1995 |
|
| Learning from data using latent variable methods |
Yacoub |
2006 |
|
| Review of adaptation mechanisms for data-driven soft sensors |
Kadlec, Grbić and Gabrys |
2011 |
|
| Analysis of multi-way (multi-mode) data |
Geladi |
1989 |
|
| Analysis of multiblock and hierarchical PCA and PLS models |
Westerhuis, Kourti and MacGregor |
1998 |
|
| Product and process improvement using latent variable methods |
Jaeckle |
1998 |
|
| Modified jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR) |
Martens and Martens |
2000 |
|
| Mixture designs and models for the simultaneous selection of ingredients and their ratios |
Muteki, MacGregor and Ueda |
2007 |
|
| Using on-line process data to improve quality: challenges for statisticians |
MacGregor |
1997 |
|