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"variance of errors" is a grammatically correct phrase that is commonly used in written English, particularly in technical or mathematical contexts.
Some possible examples of using this phrase in a sentence could include: - "The researchers found that the variance of errors in their data set was significantly higher than expected." - "When analyzing the results, it became clear that the variance of errors between the control and experimental groups was statistically significant." - "In order to reduce the variance of errors in our measurements, we increased the sample size for each data point." - "The statistical analysis revealed a correlation between the variance of errors and the complexity of the task being performed."
Exact(9)
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.
Initial analysis of cost data revealed significant positive skewness and kurtosis and linear regression analysis using cost resulted in a heteroskedastic variance of errors.
Similar(51)
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 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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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com