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In the applied least square method the sum of the squares of the differences between the dα/dt values obtained from the above mentioned equation and values derived from the TG and DTG measurements, respectively taking into account that: α = ∆m/∆mtot and dα/dt = dm/dt)/∆mtot, attains its minimum values for the selected values of k0, n and Ea.

By applying the least squares method, the sum of the squares of the differences between the d/dt values calculated using equation (1) and those derived from TG/DTG measurements (taking into account that α is calculated using equation (2) α = Δm Δ m tot = m i − m T m i − m f (2).

Hence, even with the same decision method (the sum rule) and the same judge accuracies the implementation of evaluation procedures such as the permitted scores can alter the judge accuracy curve.

In this method, the sum of the deviations of the sample means from the combined sample mean is normalized to the combined sample SD (see Table 1).

The CPU time is normalized using the Linpack benchmark table and is in case of the multistarts of the single shooting (SS) and multiple-shooting (MS) method the sum over all restarts.

In our method the sum of the w i 2 over the s PLS components presents the gene importance vector and the "best genes" have the highest values in this vector.

Similar(53)

In the second method, the sums of clusters tend toward the desired value.

For the solutions obtained by the discrete filled function method, the sums of SPT terms are reduced remarkably and their values are very close to that of the infinite precision solutions.

The count method is the sum of the number of risk alleles, whereas the weighted method incorporates the sum of the number of risk alleles each weighted by its odds-ratio or effect size.

In general, the method minimizes the sum of square errors (see Fig. 2).

The method uses the sum of the multiplications of functions in one direction by functions in the second direction.

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