residual variance


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residual variance

[rə′zij·ə·wəl ′ver·ē·əns]
(statistics)
In analysis of variance and regression analysis, that part of the variance which cannot be attributed to specific causes.
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These low heritability estimates obtained in this study could be attributable to the high residual variance.
Important variables reducing the residual variance were mean annual ring width at breast height, mean annual ring width for different annual ring intervals at breast height, site index, and number of trees per hectare.
Secondly, when deterministic part were modelled, we used residuals to make linear interpolation of missing coordinates adding white noise with equal variance to the all effective residual variance.
Firstly, a nonparametric residual variance estimation method, called [delta]-test [15], is used to measure the noise level reduced using a wavelet-based denoising technique and the input dimension is determined when the noise reaches a reasonable level.
The individual configuration of samples for each panelist presented in Figure 4 was similar and presented low residual variance, varying from 1.
The coefficient of determination of the model is indicated for the evaluation of experimental precision because it is associated with high variance among the treatments and low residual variance.
The residual variance structure for FY was defined by four classes (1st, 2nd, 3rd to 8th and 9th to 10th month).
In addition, the sum of the residual variance across all 27 items was equal to 15.
Findings suggest that Head Start had impacts on individual residual variance that have not yet been recognized in analyses of these data.
The PP procedures compute a residual variance, which is robust to auto-correlation, and are applied to test for unit roots as an alternative to the ADF unit root test (Katircioglu 2009).