Abstract
The influence of a number of parameters on the behaviour of the robustness coefficient, introduced in Part I, is considered here using an artificial data set. The application of this robustness coefficient with multi-criteria decision making is demonstrated with a real data set.
Original language | English |
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Pages (from-to) | 325-336 |
Number of pages | 12 |
Journal | Chemometrics and Intelligent Laboratory Systems |
Volume | 10 |
Issue number | 3 |
Publication status | Published - Apr-1991 |