@misc{Hryniewicz_Olgierd_(1948–_)_Prediction_2012, author={Hryniewicz, Olgierd (1948– ) and Karpiński, Janusz}, copyright={Creative Commons Attribution BY 4.0 license}, address={Warszawa}, journal={Raport Badawczy = Research Report}, howpublished={online}, year={2012}, publisher={Instytut Badań Systemowych. Polska Akademia Nauk}, publisher={Systems Research Institute. Polish Academy of Sciences}, language={eng}, abstract={Pearson’s coefficient of linear correlation r is the most popular among practitioners measure of dependence. This paper presents, using comprehensive computer simulations, that its application is very limited when we search for informative variables that can be used for the prediction of reliability. Kendall’s τ coefficient has been shown to be much better for this purpose.}, title={Prediction of reliability – pitfalls of using Pearson’s correlation}, type={Text}, URL={http://www.rcin.org.pl/Content/109178/PDF/RB-2012-19.pdf}, keywords={Spearman's rank correlation coefficient, Measures of dependence, Miary zależności, Prediction of reliability, Pearson's rho, Prognoza niezawodności}, }