Both mean errors (bias) and distribution about the mean (variance) were studied.
As a result, the output PDF rather than the mean variance was proposed [16 18].
The mean variance is shown in Figure 6 separately for all four dataset lengths.
Seasonal behavior of the temperature and its monthly and nightly mean variances are presented.
Data were analysed through Kruskall Wallis and Mann–Whitney U non parametric tests, when mean variances were significantly different across groups.
Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are used to jointly monitor the mean and variance of a process.
Mean and variance are significantly different (mean: p value 2.4 × 10−5 [ t test]; variance: p value 0.02 [Levene's test]).
Under this assumption, the sample mean and variance are often used to estimate the process mean and the process variance at each design point.
Just, mean and variance are constant.
Its mean and variance are both equal to μt.
