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The sum of errors was the dependent variable.
The time required to complete the test and the sum of errors were the dependent variables.
The approach seeks to solve a GLS problem that minimizes the sum of errors in traffic counts and O D matrices based on an equilibrium assignment mapping derived exogenously from a K-shortest path ranking procedure.
To achieve the best performance model, a scoring table was proposed considering several factors including coefficient of determination, sum of errors, difference between training and testing errors, sum of residuals, deviation of predicted results from experimental one and complexity and generality of the models.
Figure 15 shows the results for both methods using three different measures: the worst error over all placeholders in the document (Fig. 15(a)); the maximum error "variation" (i.e. sum of error differences) in a single page (Fig. 15(b)); and the maximum sum of errors in a single page (Fig. 15(c)).
F = WSSE 1 - WSSE 2 p 2 - p 1 WSSE 2 N - p 2 (5). in which N is the number of frames (36 in the present study), WSSE the weighted squared sum of errors, using the weights of Equation 2, and p the total number of parameters for each model, i.e. 4, 5 and 6 for 1T2k, 2T3k and 2T4k, respectively, including spill-over fractions.
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Geometrical error sources are expressed as error twists, and the integrated model is calculated as the sum of error twists.
The tuning rules are developed for a minimum time domain integral performance index described by a weighted sum of error index and controller effort.
The resultant sum of error squares (SSEs) and coefficient of determination (r2) suggested that all selected isotherm models were applicable to represent the experimental data for the whole concentration range (10 50 mg L−1).
For nonlinear fitting, square sum of error (SSD) was applied.
The adding up restriction of the factor shares leads to singularity because the sum of error terms is zero for each firm.
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