Sentence examples for median deviations are from inspiring English sources

Renyi entropy, order statistics, reliability, mean and median deviations are presented.

The variability of median deviations is particularly important for the selection of a correction threshold.

The median deviation was +0.30 h (95% CI from −0.87 to +0.93) for blood-group non-O patients and +0.40 h (95% CI from −0.92 to +0.87) in patients with blood-group O. Thus, there is a slight tendency to overestimate FVIII half-life using these predictive equations.

The results also show that a 5%% bias is more likely to be identified as anywhere between 2.5 5 % (with further reduction in performance at earlier timepoints), meaning that a subtraction of the estimated median deviation is more likely to dampen the bias, rather than remove it.

An advantage of robust approaches is that they de-emphasize extreme values: medians and median absolute deviations are less affected by long-tailed or asymmetric distributions than means and standard deviations.

Means, medians, and standard deviations are provided for continuous variables.

The choice of smoothing model and median deviation threshold are two important parameters for error detection.

Standard descriptive statistics, such as mean, median, and standard deviations, were computed for continuous variables.

Next, the median and standard deviations were calculated from the eight Pkd1del2-11, lox samples for each group.

Summary medians and standard deviations were calculated based on the reported or estimated median values from each individual study.

Values for the median and the MAD (median absolute deviation) were considered.