论文信息 - Parallel co-ordinate geometry and principal component analysis for the interpretation of large multi-response experimental designs - 字舞流文

Parallel co-ordinate geometry and principal component analysis for the interpretation of large multi-response experimental designs

Y. Heyden | D. Massart | V. Pravdova | F. Questier | L. Tallieu | A. Scott

[1] Y. Heyden,et al. Guidance for robustness/ruggedness tests in method validation. , 2001, Journal of pharmaceutical and biomedical analysis.

[2] S. De Jong,et al. Strategy for ruggedness tests in chromatographic method validation , 1999 .

[3] T. Lundstedt,et al. Optimization of a granulation and tabletting process by sequential design and multivariate analysis , 1998 .

[4] J Bourquin,et al. Comparison of artificial neural networks (ANN) with classical modelling techniques using different experimental designs and data from a galenical study on a solid dosage form. , 1998, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[5] Y Vander Heyden,et al. Ruggedness testing of chromatographic methods: selection of factors and levels. , 1998, Journal of pharmaceutical and biomedical analysis.

[6] R. Henrion. N-WAY PRINCIPAL COMPONENT ANALYSIS : THEORY, ALGORITHMS AND APPLICATIONS , 1994 .

[7] Desire L. Massart,et al. Three-level screening designs for the optimisation or the ruggedness testing of analytical procedures , 1993 .

[8] Jean Pierre Brans,et al. Multicriteria decision making: A case study , 1991 .

[9] A. K. Smilde,et al. Introduction of multi-criteria decision making in optimization procedures for high-performance liquid chromatographic separations , 1986 .