Model selection for partial least squares regression von Li, Baibing, Morris, Julian, Martin, Elaine B.

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Adaptive Multivariate Statistical Process Control for Monitoring Time-Varying Processes von Choi, Sang Wook, Martin, Elaine B, Morris, A. Julian, Lee, In-Beum

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Statistical performance monitoring of dynamic multivariate processes using state space modelling von Simoglou, A., Martin, E.B., Morris, A.J.

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Fault Detection Based on a Maximum-Likelihood Principal Component Analysis (PCA) Mixture von Choi, Sang Wook, Martin, Elaine B, Morris, A. Julian, Lee, In-Beum

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Curve resolution for multivariate images with applications to TOF-SIMS and Raman von Gallagher, Neal B., Shaver, Jeremy M., Martin, Elaine B., Morris, Julian, Wise, Barry M., Windig, Willem

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Non-linear projection to latent structures revisited (the neural network PLS algorithm) von Baffi, G., Martin, E.B., Morris, A.J.

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Non-parametric confidence bounds for process performance monitoring charts von Martin, E.B., Morris, A.J.

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Empirical preprocessing methods and their impact on NIR calibrations: a simulation study von Thennadil, S. N., Martin, E. B.

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On-line monitoring of a sugar crystallization process von Simoglou, A., Georgieva, P., Martin, E.B., Morris, A.J., Feyo de Azevedo, S.

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Performance monitoring of a multi-product semi-batch process von Lane, S, Martin, E.B, Kooijmans, R, Morris, A.J

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Non-linear projection to latent structures revisited: the quadratic PLS algorithm von Baffi, G., Martin, E.B., Morris, A.J.

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An approximation to the F distribution using the chi-square distribution von Li, Baibing, Martin, Elaine B

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On-line monitoring of batch processes using a PARAFAC representation von Meng, X., Morris, A. J., Martin, E. B.

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Confidence limits for contribution plots von Conlin, A. K., Martin, E. B., Morris, A. J.

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Enhanced bio-manufacturing through advanced multivariate statistical technologies von Martin, E.B., Morris, A.J.

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Prediction of polymer quality in batch polymerisation reactors using robust neural networks von Zhang, J., Morris, A.J., Martin, E.B., Kiparissides, C.

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Inferential estimation of polymer quality using stacked neural networks von ZHANG, J, MARTIN, E. B, MORRIS, A. J, KIPARISSIDES, C

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Wavelets and non-linear principal components analysis for process monitoring von Shao, R, Jia, F, Martin, E.B, Morris, A.J

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Non-linear principal components analysis for process fault detection von Jia, F., Martin, E.B., Morris, A.J.

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Non-linear principal components analysis with application to process fault detection von Jia, F., Martin, E. B., Morris, A. J.

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