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The predictive capability of the multivariate method developed by partial least squares regression was satisfactory, allowing mean errors between 0.33 and 10% in the simultaneous determination of ATZ, DIA and DEA in aqueous solution.
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The Surveillance Tree methodology is a multivariate outlier detection method developed in Sparks and Okugami [ 18] to monitor numbers of vehicle crashes.
To test for a phylogenetic signal in SShD against the null hypothesis of the absence of any phylogenetic signal, we used a permutation procedure that is a multivariate extension of a method developed by Laurin [ 52].
This paper presents a new method developed for evaluating multivariate normal integrals defined for general system events including series, parallel, cut-set and link-set systems.
The correlated SNPs are generated using a multivariate normal distribution function and the method developed in the R package HapSim (Montana, 2005).
For carefully built mixed models [ 3, 4], power methods developed for multivariate models provide the best available power analysis.
Based on the current state of knowledge, we recommend using power methods developed for multivariate models to calculate sample size for studies using common mixed models for data analysis.
This work presents a critical review of multivariate techniques employed for optimization of methods developed in food analysis.
Multivariate methods have been developed to study complex data with many variables analyzed simultaneously.
We also developed a multivariate method for generating and mapping central root architecture phenotypes and used it to identify five major quantitative trait loci (r(2) = 24-37%), two of which were not identified by our univariate analysis.
We also developed a multivariate method for generating and mapping central root architecture phenotypes and used it to identify five major quantitative trait loci (r2 = 24 37%), two of which were not identified by our univariate analysis.
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