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saplings were analysed using a multivariate method.
Furthermore, MDL values were determined by a multivariate method using the type of errors and concentration ranges.
Principal component regression (PCR) has been widely used as a multivariate method for data-based soft sensor design.
The other approach is a multivariate method, based on partial least squares regression, which can be used to design shift compensation models for the whole gas-sensor array.
This paper describes the development and validation of a multivariate method based on transmittance NIR spectroscopy for simultaneous quantification of l-α-phosphatidylcoline (LPC) and cholesterol (CHO).
The wave functions for calculation of 13C nuclear magnetic shielding tensors of this molecule have been optimally selected using factorial design as a multivariate method.
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This paper describes a commensurately multivariate method as an alternative to scalar extraction.
KL-Evidence: A Novel Multivariate Method for Differentiating Representations.
poster: KL-Evidence: A Novel Multivariate Method for Differentiating Representations.
This paper proposes a novel multivariate method for the measurement based modal analysis.
Discriminant analysis of principal components is a nonspatial multivariate method that we applied to the nuclear SNP data and microsatellites.
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