Sentence examples for variance after the from inspiring English sources
A new modeling has been developed to describe the output signal mean and variance after the impact ionization process in such a case.
Segmental polynomial (knot) regression revealed a plateau in within-subject variance after the 21st subject.
(7)In all experiments, inputs and outputs were scaled to zero mean and unit variance after the data generation procedure.
When populations survive the environmental change, however, there is a surge in additive variance after the environmental change.
Just as for the IF models, the period of oscillation and decay rate depend on the final firing rate and input variance after the jump in input.
Two within-subject methods were used, one considering task-related variance and the other considering residual variance after the removal of task effects.
(A ) Intra- and (B ) inter- hemisphere group mean correlations between the unexplained variance after simulating the spread of the BOLD signal across RFs (via Cholesky analysis) and eccentricity (medium gray bars) and polar angle (light gray bars) predictors are plotted for all pairs of visual areas V1, V2, V3, and hV4.
Indeed, the diagonal elements do not depend on the unknown DOAs, although they can be eventually used to estimate the noise variance after estimating the channel coefficients from the off-diagonal entries as detailed later.
Data obtained from the experiment were subjected to one-way analysis of variance after verifying the normality and the homogeneity of variance using the statistical software Statviews (version 5.01).
Finally, a structural equation model showed that impulsiveness, conscientiousness and the difference in skin conductance level between risky and neutral situations predicted risky pedestrian behaviors, and explained 23.6% of the its variance, after controlling the effect of gender.
We performed statistical analyses using the "Survey" procedure in SAS software (version 9.2; SAS Institute Inc., Cary, NC, USA) to estimate variance after incorporating the weights for the sample population, which take into account unequal selection probabilities and planned oversampling of certain subgroups that result from the complex multistage probability design in the NHANES.
