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Results: 299
Number of items: 299
  • Louwerse, D. J., & Smilde, A. K. (2000). Multivariate Statistical Process Control of Batch Processes using Three-way Models. Chemical Engineering Science, 50, 1225-1235.
  • Reis, M. M., Gurden, S. P., Smilde, A. K., & Ferreira, M. M. C. (2000). Calibration and detailed analysis of second-order data with rank overlap. Analytica Chimica Acta, 422, 21-36. https://doi.org/10.1016/S0003-2670(00)01061-8
  • Smilde, A. K., Westerhuis, J. A., Gurden, S. P., van Sprang, E. N. M., & Ramaker, H. J. (2000). Monitoring batch processes using external information. In ADCHEM 2000, International Symposium on Advanced Control of Chemical Processes, Pisa, Italy-June 14-16, 2000 (pp. 33-37)
  • Smilde, A. K., Westerhuis, J. A., & Boque, R. (2000). Multiway multiblock component and regression models. Journal of Chemometrics, 14, 301-331. https://doi.org/10.1002/1099-128X(200005/06)14:3<301::AID-CEM594>3.3.CO;2-8
  • Bijlsma, S., Boelens, H. F. M., Hoefsloot, H. C. J., & Smilde, A. K. (2000). Estimating reaction rate constants: comparison between traditional curve fitting and curve resolution. Analytica Chimica Acta, 419, 197-207. https://doi.org/10.1016/S0003-2670(00)00994-6
  • Bijlsma, S., & Smilde, A. K. (2000). Estimating reaction rate constants from a two-step reaction: a comparison between two-way and three-way methods. Journal of Chemometrics, 14, 541-560.
  • Swierenga, H., Wulfert, F., de Noord, O. E., de Weijer, A. P., Smilde, A. K., & Buydens, L. M. C. (2000). Development of robust calibration models in NIR spectroscopic applications. Analytica Chimica Acta, 411, 121-135. https://doi.org/10.1016/S0003-2670(00)00718-2
  • Westerhuis, J. A., Gurden, S. P., & Smilde, A. K. (2000). Generalized contribution plots in multivariate statistical process monitoring. Chemometrics and Intelligent Laboratory Systems, 51, 95-114. https://doi.org/10.1016/S0169-7439(00)00062-9
  • Westerhuis, J. A., Gurden, S. P., & Smilde, A. K. (2000). Spectroscopic Monitoring of Batch Reactions for On-Line Fault Detection and Diagnosis, Analytical Chemistry. Analytical Chemistry, 72, 5322-5330. https://doi.org/10.1021/ac000532y
  • Open Access
    Jellema, R. H. (2000). Quantifying sources of variation in process analytical measurements. [Thesis, fully internal, Universiteit van Amsterdam].
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