POSTER: Evaluation of the applicability of the variance of screening- and supersaturated- design results as a measure for the robustness of a method

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ORAL PRES. Supersaturated designs in robustness testing

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CHAPTER IN BOOK: Multivariate data analysis of plants

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Screening designs: Part 2 - Data analysis

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Experimental designs and their recent advances in set-up, data interpretation, and analytical applications.

In this review, the set-up and data interpretation of experimental designs (screening, response surface, and mixture designs) are discussed. Advanced set-ups considered are the application of D-optimal and supersaturated designs as screening designs. Advanced data interpretation approaches discussed are an adaptation of the algorithm of Dong and the estimation of factor effects from supersaturated design results. Finally, some analytical applications in separation science, on the one hand, and formulation-, product-, or process optimization, on the other, are discussed.info:eu-repo/semantics/publishe

Supersaturated designs: set-ups, data interpretation, and analytical applications.

For screening purposes, two-level screening designs, such as fractional factorial (FF) and Plackett-Burman (PB) designs, are usually applied. These designs enable examination of, at most, N-1 factors in N experiments. However, when many factors need to be examined, the number of experiments still becomes unfeasibly large. Occasionally, in order to reduce time and costs, a given number of factors can be examined in fewer experiments than with the above screening designs, by using supersaturated designs. These designs examine more than N (SS)-1 factors in N (SS) experiments. In this review, different set-ups to construct supersaturated designs are explained and discussed, followed by several possible data interpretations of supersaturated design results. Finally, some analytical applications of supersaturated designs are given.info:eu-repo/semantics/publishe

Response surface designs: Part 2 - Data analysis and Multiresponse optimisation

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Robustness tests

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INTERNATIONAL LECTURE/COURSE/ORAL PRES. ON INVITATION: Introductory Course to Chemometrics: Experimental Design and Multivariate Data Analysis

3-days Courseinfo:eu-repo/semantics/nonPublishe