Publication details

Transformation of a Free-Wilson Matrix into Fourier Coefficients

Authors

HOLÍK Miroslav HALÁMEK Josef

Year of publication 2001
Type Article in Periodical
Magazine / Source Quant. Struct.-Act. Relat.
MU Faculty or unit

Faculty of Science

Citation
Field Physical chemistry and theoretical chemistry
Keywords Free-Wilson matrix; Fourier transform; multivariate regression; standard error of prediction; statistical importance of the regression
Description Fourier Transform is suggested as a way to change site and substituent oriented variables into new only latently dependent ones. It is possible to find out a model with a low standard error of prediction, SEP%, of activity for not yet prepared compounds. Testing power of the correlation coefficient is improved by calculating a probability, PR, that the regression is made only by chance.
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