Sentence examples for bivariate variation and the from inspiring English sources
However, the analysis of bivariate variation and the use of surrogate data suggest that short-term phase coordination mainly resulted from central adjustment of heart rate and respiratory rate rather than from real phase synchronization due to physiological interaction.
Both the analysis of bivariate variation and the use of surrogate data suggests that intermittent phase coordination, with k = 3 and α = 0.03, results primarily from central adjustment of heart rate and respiratory rate and not from real beat-to-beat phase synchronization.
In this study the bivariate variation of heart rate and respiratory rate is estimated with respect to their influence on the frequency ratio of heartbeat and respiration (according to the error propagation law): where II and RR can be replaced by the mean values and Δ II and Δ RR by the standard deviations of the II and RR differences respectively.
The bivariate variation of both signals, which is per se the same in the original and the surrogate data, decreases noticeably during 8 2 coordination but only slightly during 7 2 coordination.
This time, I danced the Don Quixote variation, the Corsaire variation, and the Tchaikovsky variations.
In this section, we firstly introduce the bivariate Poisson distribution and the bivariate binomial thinning operator, '∘'.
His findings about "bivariate correlations" and the rest probably make for better academic research than great bar talk at McSwiggan's Pub.
"Variation and movement were the only constants".
The authors in [18] propose a bivariate total variation regularization model to calibrate the volatility (sigma=sigma(S,t)), the existence and convergence for the regularized approach are discussed and some numerical experiments are presented.
Design Systematic review of research on the accuracy of point of care D-dimer tests, using bivariate regression to examine sources of variation and to estimate sensitivity and specificity.
We analyzed the data using bivariate methods and logistic regression to determine regional variation and risk factors predictive of unhelpful advanced imaging.
