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We selected a wider scatter window (10% of photopeak energy) than proposed by Ichihara et al. in order to obtain better counting statistics and minimize the statistical noise without having to filter the scatter estimation series (which is, in fact, the unaltered energy window B acquisition projections in our protocol) prior to reconstruction.
Although the fit statistics reported here are thought to minimize the statistical effect of a smaller sample, it is possible that this may have affected the results.
To minimize the statistical error, each acquisition has been made 10 times and the averages of these 10 acquisitions are used in the analysis.
All the efforts have so far been devoted to minimize the statistical uncertainty by repeated measurements but systematic uncertainty cannot be reduced by mere repetition.
We performed three replicates of the above sampling and annotation procedure with Transposome for each species to minimize the statistical error in our estimates of genome composition.
In order to minimize the statistical artefacts which could arise due to short alignments and a saturation of Ks, we further discarded those alignments which are less than 30aa in length and which had Ks >2.
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The minimization of the statistical error in the measured area also minimizes the statistical error in the inferred neutron width.
Many studies have been carried out to tackle BSS problems based on independent component analysis (ICA), which minimizes the statistical dependency among the output signals [4 8].
Optimal evaluation parameters were determined by considering the frequency dependence of the estimator, and by minimizing the statistical and systematic errors of the results.
This is achieved by minimizing the statistical dependence between the classifier and the confounding factors.
This algorithm minimizes the statistical dependencies between the columns of S, so that each column of S defines groups of coexpressed genes.
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