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@article{403364,
author = {Holík, Miroslav and Halámek, Josef},
article_number = {5-6},
keywords = {Free-Wilson matrix; Fourier transform; multivariate regression; standard error of prediction; statistical importance of the regression},
language = {eng},
issn = {0931-8771},
journal = {Quant. Struct.-Act. Relat.},
title = {Transformation of a Free-Wilson Matrix into Fourier Coefficients},
volume = {20},
year = {2001}
}
TY - JOUR
ID - 403364
AU - Holík, Miroslav - Halámek, Josef
PY - 2001
TI - Transformation of a Free-Wilson Matrix into Fourier Coefficients
JF - Quant. Struct.-Act. Relat.
VL - 20
IS - 5-6
SP - 422
EP - 422
PB - Wiley-VCH
SN - 09318771
KW - Free-Wilson matrix
KW - Fourier transform
KW - multivariate regression
KW - standard error of prediction
KW - statistical importance of the regression
N2 - 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.
ER -
HOLÍK, Miroslav a Josef HALÁMEK. Transformation of a Free-Wilson Matrix into Fourier Coefficients. \textit{Quant. Struct.-Act. Relat.}. Wiley-VCH, 2001, roč.~20, 5-6, s.~422-428. ISSN~0931-8771.
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