Sentence examples for correlated variations from inspiring English sources
Poseidonius (135 50 bce) first correlated variations in the tides with phases of the Moon.
Simultaneous monitoring with OVRO and VLBA are being proposed to search for correlated variations and lags predicted by theory to characterize the flaring state emission process.
Interestingly, significant changes in the curvature of the conduction and valence band near their extrema upon the application of strain are also predicted, with correlated variations of the electron and hole effective masses.
PSR B1828-11 has long-term, highly periodic and correlated variations in pulse shape and a slow-down rate with period variations of approximately 1000, 500 and 250 days [Stairs, I.H., Lyne, A.G., Shemar, S.L. Evidence for free precession in a pulsar. Nature 406, 484 486, 2000].
Correlated variations of P of nighttime Pc3s suggest that some global factor controls their generation.
Due to the highly correlated variations of c a and AUC, Θ=AUC/c a exhibits a much smaller variability with a standard deviation of only 3.2% which demonstrates that Θ actually is approximately constant across all conducted investigations.
I would like to show that correlated variation (that is, correlative distribution patterns involving syntactic phenomena), can help us understand formal relations between pieces of I-language, and uncover certain basic aspects of the acquisition device that go beyond UG.
While this statistic has not been explicitly applied to the analysis of co-expression, the leading eigenvalue(s) of a correlation or covariance matrix are commonly used to summarize the structure of correlated variation [ 30, 31].
We observed more variability across subjects than regions and correlated variation of time-to-peak values across several pairs of regions.
In this analysis, the algorithm calculates the maximum amount of correlated variation in a data set and scores each spectrum according to this variation along PC1.
Again, we were unable to conduct a multivariate analysis to account for correlated variation across the brain because of missing values for individual brain regions.
