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Mokken scaling is designed to search multivariate data for ordinal, unidimensional and hierarchical scales.
Mahalanobis distances and robust distances for the multivariate data for p = 2, N = 60,240 are illustrated in Fig. 3.
Integrated police reports and inventory data yield correlated multivariate data for roadway entities (e.g., segments or intersections).
Therefore, factor analysis is quite often used on multivariate data for dimension reduction or to condense multiple input variables to several orthogonal and meaningful factors (Hair et al. 1998).
Latent variable models (factor analysis) are commonly used to test multivariate data for the presence of hidden variables which explain much of the observed variation [25], [26].
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Algorithms for analyzing multivariate data developed for other applications are currently used extensively in systems biology.
The objectives of this study were to investigate the potential use of ATR, in combination with multivariate data analysis, for the rapid quantification of IgG concentrations in bovine serum, and for the diagnosis of FTPI in dairy calves.
Emphasis will be on multivariate data analysis (for example calibration), whereas other parts of chemometrics such as experimental design will not be treated here.
Since the signal intensities of the amino acids fragments define a multivariate data set (for a detailed peak list, see Table SI-2 in Supporting Information), principal component analysis was applied to reduce data dimensionality and complexity.
In the present study we aimed to combine 2-DE profiles on the same study groups, with multivariate data analysis for prediction model building and identification of potential tumor markers.
Using minAS, a method for feature selection in multivariate data, cutoff values for data discretization were defined as follows: ≤0.3 hypomethylated '0', >0.3 < 0.7 intermediate '0.5', and >0.7 hypermethylated '1'.
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