Sentence examples for monitoring variance from inspiring English sources

Moreover, only Hotelling for SD and CV are computed based on details coefficients because those coefficients are the most reliable and appropriate for monitoring variance.

Performance management processes include such activities as planning, budgeting, performance monitoring, variance analysis, scenario analysis, and economic forecasting/modeling. Revenue generating processes include such activities as marketing, sales, product development, product management, and customer service.

Unidimensionality was measured by monitoring the variance explained for each dimension from KIDSCREEN-27 by the use of a principal component analysis (PCA) of residuals.

The Shewhart R control chart (R chart) has been widely used to monitor process variance.

But Mr. Annan's spokesman, Fred Eckhard, said at a briefing yesterday that Iraq's proposal, which would replace active inspections with long-term monitoring, "was at variance with the one laid down by the Security Council in its Resolution 1284" at the end of 1999.

Fig. 17 Transient monitor versus noise variance.

Multicollinearity was monitored with the variance inflation factor (VIF) of which the square root indicates how much larger the standard error is compared with what it would be if the variables were uncorrelated with the other independent variables in the equation.

Several individuals control chart schemes are contrasted for the problem of monitoring the mean and variance of a normal process variable, with special consideration given to monitoring process analyzers, such as electrochemical devices, chromatographs, potentiometers, refractometers, and spectrometers.

Current approaches employ (i) multivariate analysis on existing monitoring data to allocate variance to different stress factors [25] and (ii) extend triad-based approaches of relating local habitat conditions with chemical contamination and in situ effects detected as biomarkers in aquatic wildlife [26] and in caged fish.

Being aware of the importance of data reproducibility, we determined the optimal number of arrays to be included in experimental design by monitoring the convergence of variance for gene expression signals in five replicates representing the condition AA.

Firstly, the meteorological variables used were a simple mean of data collected from various monitoring stations, and the variance of measurement may differ from station to station, which may induce larger heterogeneity of the results.