Sentence examples for adjustment of the error from inspiring English sources

An adjustment of the error probability would decrease the test power extremely so that the power of detecting existing mean differences would be very low.

When applying the Dunnett post hoc test, the number of significances was reduced by those endpoint pairs in which the t test showed a p value between 0.01 and 0.05 (significant, but not highly significant) according to the adjustment of the error rate for multiple comparisons.

*Prevalence ratio (PR) estimated by the Poisson regression model with robust adjustment of the standard errors.

PR – Prevalence ratio; CI – Confidence interval; *Prevalence ratio (PR) estimated by the Poisson regression model with robust adjustment of the standard errors.

The crossover residuals are presented before and after empirical adjustment of the radial orbit error, assuming a model that the orbit errors are dominated by errors at a frequency of once per orbital revolution (Shum et al., 1990).

Further, similar to GGRF, the proposed FB-GGRF method is asymptotically well-behaved, and does not require empirical adjustment of the type I error rates.

Control for multiplicity (i.e., adjustment of the Type I error) generally is not a concern when all endpoints are shown to be superior to those of the comparison group, but we recommend carefully considering the impact of choosing multiple primary endpoints on Type II error and sample size.

The step-size adjustment uses the error estimate of a previous integration step to predict the largest possible next step h satisfying the required tolerance.

Is error awareness an all-or-nothing prerequisite for some adjustments, or is there a gradual correlation of the adjustments with the strength of the error signal resulting in awareness?

Using a least-mean-square (LMS) adaptive algorithm as a receiver (RX) error convergence engine, the proposed BEE method aims to optimize the bit-edge amplitudes by equalizing only the edges of data bits with an adjustment of the sampling points where the error information is collected.

Even if the adjustment of the weights is large, the error is still falling slowly, which makes the training process almost to a halt.