2013
DOI: 10.5772/3301
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Multivariate Analysis in Management, Engineering and the Sciences

Abstract: Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. Every day the professionals use more sophisticated statistical tools to assist them in decision making.In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics.The wide application of multivariat… Show more

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Cited by 5 publications
(1 citation statement)
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“…PCA, a multivariate analysis technique is a mathematical algorithm that reduces the dimensionality of datasets by developing a smaller number of uncorrelated artificial variables, called principal components (PCs), that account for most of the variance in the observed variables. Samples can then be plotted, making possible to visualize similarities and differences between samples and whether they can be grouped (Ringner, 2008;Ami et al, 2012). Table 1 Labels for control group (C) and groups exposed to 0.001% (C1), 0.01% (C2), 0.1% (C3), and 1.0 (C4) of diesel oil (D) or gasoline (G) for 30 min (T1), 1 h (T2), 12 h (T3), and 24 h (T4).…”
Section: Resultsmentioning
confidence: 99%
“…PCA, a multivariate analysis technique is a mathematical algorithm that reduces the dimensionality of datasets by developing a smaller number of uncorrelated artificial variables, called principal components (PCs), that account for most of the variance in the observed variables. Samples can then be plotted, making possible to visualize similarities and differences between samples and whether they can be grouped (Ringner, 2008;Ami et al, 2012). Table 1 Labels for control group (C) and groups exposed to 0.001% (C1), 0.01% (C2), 0.1% (C3), and 1.0 (C4) of diesel oil (D) or gasoline (G) for 30 min (T1), 1 h (T2), 12 h (T3), and 24 h (T4).…”
Section: Resultsmentioning
confidence: 99%