Random Variance

Random Variance

A change in a statistical sample due to chance and not to a change in the underlying data. For example, 47% of one sample may prefer product A to product B, while only 42% do in a second sample. If the change is due to random variance, it does not indicate a decline in support for product A. Various models exist to account for random variance, notably large sample sizes and multiple surveys. See also: Outlier.
References in periodicals archive ?
By recognizing the resonance effects from ground vias, one can let the tool apply a random variance to the via pattern to avoid having all via-formed cavities resonating at the same frequency.
FIGURE 2 shows a contour stitching and a surface via pepper with random variance applied.
To produce the combined curve, we regressed these estimates against indicator variables for each level, using inverse variance weighting and allowing for a random variance component to capture heterogeneity in the association across cities.
ij] is the estimated variance in city i at level j, and [delta] is the estimated random variance component.
26) to obtain a maximum likelihood estimate of the random variance component.
To combine results across cities, we used inverse variance weighted averages including a random variance component to incorporate heterogeneity.
Where heterogeneity remained, as assessed by a chi-square test, we fitted the regression including a random variance component, estimated using a maximum likelihood approach, following the method of Berkey et al.
We extended their method to incorporate random variance components.
To allow for this, we estimated a random variance component using the method of moments.
These estimated the overall effect as a weighted average, with weights equal to the inverse of the sum of the square of the standard error plus a random variance component.