Nonparametric statistical testing of EEG- and MEG-data
Nonparametric statistical testing of EEG- and MEG-data is a scholarly work, published in 2007 in ''Journal of Neuroscience Methods''. The main subjects of the publication include statistic, sensitivity, computer science, independent component analysis, artificial intelligence, econometrics, NULL, power of a test, brain–computer interface, test statistic, non-parametric statistics, statistical test, statistical model, null hypothesis, and statistics. The authors show how ElectroEncephaloGraphic (EEG) and MagnetoEncephaloGraphic (MEG) data can be analyzed statistically using nonparametric techniques.