Sentence examples for sum of deviations from inspiring English sources

For a given control structure the parameters are found which minimize an objective function consisting of a weighted sum of deviations between desired and obtained values of these objectives.

The objective function is then formulated and a solution is sought which minimizes the sum of deviations from their respective goal.

Data for this grid cell show the lowest sum of deviations for the parameters of daily mean temperature, precipitation, and global radiation compared to the county average.

More recently it has been applied to the early detection of disease outbreaks [20] and to adverse drug events.[21], [22] The CUSUM, a type of control chart, detects sudden changes in the mean value of a quantity of interest and provides estimates of the timing and magnitude of change.[23] Specifically, the analysis calculates the cumulative sum of deviations from a set value in successive samples.

The lower the sum of deviations, the better the partition.

It equals the sum of deviations resulting from 'underpredicted' relative frequencies that are lower than the corresponding observed metagenomic frequencies.

By considering the sum of deviation-from-the-mean and rotational kinetic energy as appropriate metrics for synchronization, the numerical studies provide insights into the selection of optimal edge-dependent synchronization gains when the initial conditions are assumed available.

The sum of deviation scores in consecutively constrained alignment columns provides a metric of evolutionary constraint, termed a rejected substitution (RS) score.

In fact, predictions made with network 8 have a sum of deviation equals to zero.

Therefore, the degree of incorrect prediction measured as the absolute sum of deviation in ranks between direct prioritization ranking and predicted ranking, averaged over all individuals, was also analyzed.

To estimate how noisy the generated data are, we compute the following measure of signal-to-noise ratio (SNR): (9) S N R = ∑ c i j ∑ (β d i j α − c i j ) 2 The numerator (the signal) corresponds to the number of counts, and the denominator (the noise) corresponds to the sum of deviation between each count and its expected value.