Zur multivariaten Auswertung von Ringversuchen |
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Authors: | Klaus Doerffel und Heinz Zwanziger |
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Institution: | (1) Technische Hochschule Carl Schorlemmer, Leuna - Merseburg, Sektion Chemie, DDR-4200 Merseburg, Deutsche Demokratische Republik;(2) Karl-Marx-Universität Leipzig, Sektion Chemie, DDR-7010 Leipzig, Deutsche Demokratische Republik |
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Abstract: | Summary The advantages and drawbacks of some graphical methods as interpreting aids for cooperative tests are demonstrated using results of slag sample analyses (5 laboratories, 7 components). In cases of low dimensions (components) the method of regular polygons has been found most informative. For higher dimensions modern data analysis techniques, such as principal components analysis (pca), correspondence analysis and discriminant analysis are to be preferred. From pca of correlation matrices one can also derive best choices of feature subsets to construct good polygons. The sensitivity of partial correlation coefficients due to deviating laboratory manners can be assessed by leaving-one-out comparisons. |
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