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Factor analysis was used to study data variances.
Using the mean values does not show the reliability of the test results and in many cases two bitumen with the same PG show different performances, due to different data variances.
where v ~ e χ denotes the median of data variances v e (i) over all trials for class χ.
Moreover, 7 (92.46%) and 9 PCs (96.97%) were required to explain 90 and 95% of the total data variances, respectively.
The use of the within-class covariance (WCC) matrix to normalize data variances has become widely dispread in the speaker recognition field [41, 43].
According to this definition, the overall BP, BP ~ e χ, for each class (χ = L, R) and each channel (e = C3, C4) is defined by taking the logarithm of the median or the mean of data variances over trials [18].
Similar(41)
chi2datavar chi^2 with data variance.
Chi Squared with data variance.
Chi Squared with data variance (XSPEC style).
underestimates the simulated value, chi2 data variance overestimates this parameter.
chi2xspecvar chi^2 with data variance (XSPEC-style, variance = 1.0 if data less than or equal to 0.0).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com