Sentence examples for questions of statistical from inspiring English sources

As mentioned above, the information-theoretic approach can probe questions of statistical dependencies among more than two variables and can quantify levels of synergy and redundancy.

Further explicit details on this and other possible methods of estimating mutual information are given in [29], [30] These information-theoretic concepts can be extended to naturally probe questions of statistical dependencies amongst more than two variables.

I queried a few experts about the question of statistical "noise" like the El Ni ycle.

These structures were chosen for their representativeness, as we were convinced that the question of "societal significance" cannot be "completely divorced from the question of "statistical significance"" (Fitzgerald, 2006, pp. 15-16).

It brings rigor to another question of statistical physics: How quickly does a highly organized system, such as compressed gas about to be released, reach its disordered equilibrium state?

We will here address the question of statistical power for our sample size.

If the weakness of the signal is not a mere question of statistical power one can think of a number of reasons for this pattern.

The question of statistical power is particularly vexed in the study of substitution rates, because rates cannot be measured directly, but must be inferred from DNA sequence data.

One manuscript written by Chen and his colleagues [ 1] addressed the question of statistical test for differentially expressed genes from RNA-Seq experiment.

According to the experimental design and biological questions of interest, statistical analysis (e.g. pairwise comparisons, multiple linear regression models) is performed to determine the effect(s) of interest (e.g. effect of treatment over time, over dosage, interaction of both time and dose, using pairwise comparison of treated and control samples, etc).

We discuss an analytic approach for framing biological questions in terms of statistical parameters to efficiently and confidently answer questions of interest using microarray data from factorial designed experiments.