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The estimation of variables was undertaken with high confidence and manageable error.
The paper considers an integrated set membership estimation of variables and parameters in drinking water distribution systems.
The analysis shows that on-line information concerning changes in drop size is sometimes important for the estimation of variables which it is important to control but which are difficult to measure.
New modeling techniques have improved tree-level estimation of variables such as volume and biomass, and have more recently been used to estimate growth, mortality, biomass and carbon storage (Ge et al. 2004; Li and Lei 2010).
Off-line calibration involves the estimation of variables such as time-varying OD flows, route choice model parameters, other parameters used by the OD estimation and prediction modules and, depending on the nature of the supply simulator, segment capacities and speed-density functions.
In this way, the total variation is split into the within-participant and between-participant variations, which are known to appear in cytokine response under various stimuli [ 28], thereby improving the estimation of variables in the study population.
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An economic dispatch model is developed as a mixed-integer programming (MIP) problem to support the estimation of variable cost of such a system taking into account a good granularity of the technical details.
Table 4 Statistical test values on estimation of variable z Name Value Mean squared error 0.8443 Sum of squared error 12.8308 Correlation coefficient (R) 0.9924 (R^{2}) 0.9848 Determination coefficient 0.9823 Chi-square 1.2705.
Table 3 Statistical test values on estimation of variable y Name Value Mean squared error 0.0883 Sum of squared error 0.1403 Correlation coefficient (R) 0.8360 (R^{2}) 0.6989 Determination coefficient 0.6989 Chi-square 0.0525.
Table 5 Statistical test values on estimation of variable u Name Value Mean squared error 0.0265 Sum of squared error 0.0126 Correlation coefficient (R) 0.7380 (R^{2}) 0.5476 Determination coefficient 0.9823 Chi-square 0.0057.
Table 2 Statistical test values on estimation of variable x Name Value Mean squared error 0.1804 Sum of squared error 0.5859 Correlation coefficient (R) 0.9980 (R^{2}) 0.9961 Determination coefficient 0.9960 Chi-square 0.0447.
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