Multi‐ and Megavariate Data Analysis. Principles and Applications, I. Eriksson, E. Johansson, N. Kettaneh‐Wold and S. Wold, Umetrics Academy, Umeå, 2001, ISBN 91‐973730‐1‐X, 533pp.

By R. Shaffer. 2002

332 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/76a5c3cdd1f6925ebbdb4e6677f08aa2fb4e8999

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In Analytical Chemistry

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Citations in the corpus

Metabolomics of aquatic organisms: the new omics on the block (2007, methodology): “In effect, the biomarker profile becomes stabilised by the inclusion of many relevant variables, even if each of these variables is noisy (Eriksson et al. 2001).”
Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. (2003, unknown): “To adequately describe the often complex nature of such phenomena, it is often necessary to use a battery of relevant and consistent chemical descriptors (Dunn 1989; Eriksson et al. 2001; Wold and Dunn 1983).”
Factors related to observed attitude change toward learning chemistry among university students (2005, methodology): “Analysis of responses from the attitude questionnaire, Step 1 in Figure 1, was conducted using PCA, principal component analysis (Eriksson et al., 2001).”
Data-driven Soft Sensors in the process industry (2009, methodology): “This method is called Observation-Wise-Unfolding (OWU) and it was described in details in (Eriksson et al., 2001).”
A Framework for the Development of Design and Control Spaces (2008, background): “The purpose of this paper is to present some new perspectives on design and control spaces, by introducing into the discussion concepts from multivariate chemometrics [2], engineering process control [3–6], design of experiments [7], and statistical process control (SPC) [8,9] J Pharm Innov (2008) 3”
Critical Assessment of QSAR Models of Environmental Toxicity against Tetrahymena pyriformis: Focusing on Applicability Domain and Overfitting by Variable Selection (2008, methodology): “The second DM was a distance to the PLS model, PLSEU, which is calculated using the UNSCRAMBLER program as described in its manual or in the book.(23)”
Performance of some variable selection methods when multicollinearity is present (2005, methodology): “In case of single response y and p predictors, PLS regression model with h (hVp) latent variables can be expressed as follows [4,5].”