Sentence examples for gain statistics from inspiring English sources

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aNote that different scheduling strategies simply induce different channel gain statistics for the selected subcarriers [18].

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All expression datasets were analysed for gaining statistics values.

To gain these statistics the fleet of a popular airline company was studied.

Meanwhile, the cerebellar volume should be sufficiently large to gain enough statistics for calculation of a reliable BP.

After that, the elemental variables are carefully selected in term of physical relation and the measurement data collected at a wind observation station is analyzed to gain the statistics of the elemental random variables.

All those digital types eyeing bioinformatics as their next career will tell themselves that its just a matter of using high-powered computation to gain the statistics the FDA needs.

To gain evolutionary statistics on the functional divergence of the duplicated vertebrate STIMs, the two vertebrate STIM branches were analyzed with the program DIVERGE [31] to detect shifts in the evolutionary rates and identify amino acid residues likely responsible for functional divergence.

Description: Quantile quantile plot for the body weight gain test statistics.

In order to gain better statistics, a microscopy image of a larger sample area has been chosen to perform a fast Fourier transformation (FFT) and the obtained pattern is depicted beside.

However more replicas changing the force-field, for instance using Amberff99SB-ILDN, would be a good option to gain more statistics and at the same time ensure to avoid the force-field dependence of the results, as in folding/unfolding processes it is very relevant (see for instance Lindorff-Larsen et al., 2012).

Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximate a large class of interesting densities and the availability of algorithms such as the Baum Welch or expectation-maximization (EM) algorithm for constructing the models based on observed data.

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