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In addition, coefficient of determination (R2) showing goodness of fit, mean bias error (MBE), standard deviation bias error (SDBE), root mean square error (RMSE), and normalized RMSE have also been calculated for analyzing statistical variations among observed and predicted values.
However, Bland Altman had a mean ± standard deviation bias of 1.25 ± 5.0.
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The proposed CEMS utilizes dynamic pricing (DP) and a standard deviation biased genetic algorithm (SDBGA) in minimizing the DSM window to be allocated to the DSM loads of consumers based on the multi-objective constraints.
Given are biases, RMS (without subtracting a bias), and standard deviations (bias subtracted).
The limits of agreement are defined as bias ± 1.96 (standard deviation of bias).
The method can be modified for use with flow and area measurements: (9) c = ∑ d A 2 ∑ d Q 2 With the use of Bland-Altman analysis, we observed good agreement between the two methods, bias of 0.07 m/s (standard deviation of bias, 0.45 m/s) and 95% limits of agreement −0.83 0.97 m/s (Fig. A1).
For finite data, unbiasedness does not guarantee the minimum mean square error (MSE), which is comprised of standard deviation and bias: MSE = Var + Bias 2, (1).
Bias (mean difference), precision (standard deviation of bias), 95% limits of agreement, and correlation coefficient (r) between changes of CO measured by ΔPulseCO, ΔPCCOpre, ΔPCCOrecal and ΔCCOPAC compared with ΔCOTCP.
While DMA and ZKA show a bigger evaluation on standard deviation and bias evaluation on average value.
They compared the sample standard deviation and bias of results generated in a model that employed two sampling strategies.
For three samples, the differences of the three methods became more pronounced so that the likelihood methods (MLNE and N B ^ ) outperformed their moment-based counterpart in terms of having smaller standard deviation and bias.
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