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Quadratic factor analysis and modelling with quantification qualitative magnitudes
Tungli, L. ; Ďurďová, Libuše
Factor analysis reveals linear relationships and laws in data. Widenning of this analysis for a non linear functions of magnitudes is a possible widespreding of this methods. Another aspect is an attemp to go out from linear model and this model make more accurate by quadratic components of magnitudes later, what is very important in case of small number of measured data, where model is not meaningful. Another important demand is removal do so called system mistakes factors, which are consequences of small systematic mistakes in measurements.
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