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Figure 6 The variance of error of the proposed complexity estimation.
The constant variance of error assumption is easily verified if we plot the residuals versus the fitted values.
For long simulations, the basic parameter σ2 (variance of error) is changed from 10-9 up to 3.2.
The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of error signal.
The squared residual series of both Islamic and conventional index show presence of residual autocorrelation, which shows failure of classical constancy assumption about constant variance of error term.
The main purposes of our study were 1) to examine the impacts of initialization scenarios on CENTURY model V4.5 performance and 2) to quantify the initialization contribution to the total variance of error of the CENTURY model.
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The variance of errors in the impedance spectra is evaluated from replicate measurements.
Experimental results suggested that the proposed approach outperformed the statistical regression method in terms of mean absolute errors and variance of errors.
In OK, the weighing coefficient λ i can be calculated by solving an optimization problem, whereby, the variance of errors will be minimized, subjected to unbiased condition.
The comparisons indicate that the proposed approach can effectively generate customer satisfaction models and that their modeling results outperform those based on the other three methods in terms of mean absolute errors and variance of errors.
If model assumptions of normality, independence, and constant variance of errors were not adequately met, nonparametric alternatives were used.
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