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Sensor composition and measurement conditions were optimized using a multivariate experiment design.
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Key parameters influencing growth and PHB content in Synechocystis sp. PCC 6714 were identified using a multivariate design of experiments.
The properties of biomorphic ceramics depend decisively on the synthesis parameters, that were optimized using a multivariate methodology for the design of experiments.
In the present article the synthesis as well as the decomposition of these materials is optimized using a multivariate methodology for the design of experiments.
Experiments were designed using a multivariate approach and data were analysed using different projection methods (principal component analysis, partial least-squares).
saplings were analysed using a multivariate method.
4) Statistical classification using a multivariate Gaussian classifier.
Independent risk factors were analysed using a multivariate logistic regression.
Extraction conditions were optimized using a multivariate approach.
A very recent development is multivariate MPS in which an ensemble of variables can be simulated simultaneously using a multivariate TI.
Data were analyzed using a multivariate analysis of variance (MANOVA).
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