Sentence examples for cumulative variation from inspiring English sources

Using American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Guide 14 indices the model was calibrated to achieve Mean Bias Error (MBE) values within ±5% and Cumulative Variation of Root Mean Square Error (CV RMSE)) values below 10%.

Two categories of flow regime indices were selected to characterize the impacts of reservoir and sluice regulation, including the basic flow indices for mean variation, and the cumulative variation indices for long-term alteration.

After applying the second level of calibration process, the values of Mean bias Error (MBE) and Cumulative Variation of Root Mean Squared Error (CV RMSE)) on hourly based analysis for heat pump electricity consumption varied within the following ranges: (MBE hourly from −5.6%to7.5%5% and CV RMSE hourly from 7.3%to25.1%1%.

The simulation results show that the cumulative variation in a DfT circuit due to process and mismatch can be estimated and successfully calibrated, i.e. 25% error due to process variation in DfT circuit can be reduced to 2.5% provided the input test stimuli is large in magnitude.

Cumulative variation swing magnitude.

Cumulative variation pattern swing magnitude.

The new versions of ballads that arise as the result of cumulative variations are no less authentic than their antecedents.

The reasons for discordant observations could be numerous, and most likely include specific differences in either technical aspects or study design, but we favor malaria transmission patterns, and thus primarily cumulative variations in the degree of exposure to particular antigens, as probably the strongest influence on outcomes [9].

Third, to test in how far a possible evolutionary cost of resistance against the antibiotic encountered in the first season may account for the observed cumulative variations, we analysed growth parameters of the monotherapy-treated populations in a drug-free season succeeding the evolution experiments.

The following statistics for the PLS-DA models are discussed at various points throughout this paper: R2X is the cumulative modelled variation in X, R2Y is the cumulative modelled variation in Y, and Q2Y is the cumulative predicted variation in Y, according to cross-validation.

R2X is the cumulative modeled variation in the GC/TOFMS response variables, X; R2Y is the cumulative modeled variation in the observation variables, Y; and Q2Y is the cumulative predicted variation in Y, according to cross-validation.