Sentence examples for statistical drift from inspiring English sources

Adding of statistical, drift, and aging considerations for design centering and yield optimization, including layout synthesis and post-layout simulation results in the loop, can be witnessed from concept to commercial tool level, e.g., in Muneda's WickED framework [1].

A random statistical effect, genetic drift can occur only in small, isolated populations in which the gene pool is small enough that chance events can change its makeup substantially.

Figure 4 shows scatter plots of the measured and CS10 statistical model ion drift components both before (black points) and after (blue points) removing an offset.

Several continuous quality improvement (CQI) interventions, process measures, and statistical techniques deal with drift of care in both the intervention and usual care arms to ensure the internal validity of the study.

Statistical analysis of the drift rate shows that they are different from ordinary fiber bursts in both sense and magnitude.

In the following, we will investigate the performance of the estimator by through finding the statistical distribution of timing drift Δn and its variance.

Statistical analysis of the drift rates, however, shows that the observed fine structures are different from the ordinary fiber bursts as regards the sense and the magnitude of their drift rates.

Despite performing the comparison during periods where the convection pattern is expected to be stable and agree with the statistical model, neither ion drift measurement component shows agreement with the CS10 statistical model.

The statistical effects of the drift were reduced by lg10-transformations. Impulsiveness was reduced by guanfacine in a dose-related fashion in both strains.

Additional material may include probabilistic topics such as random walks applied to diffusion and genetic drift, and statistical tools such as the chi-square test, contingency tables, goodness-of-fit, and nonparametric tests.

By this averaging process, statistical fluctuations (noise, parameter drifts) can be reduced significantly to reveal the characteristic features of the signals.