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The precision of an estimator is usually expressed through its variance, which is a fixed quantity given the population, the design, and the estimator.
Unlike the traditional Kriging variance which is a function of mere measurements density and spatial configuration of data points, the conditional copula account for the influence from data values.
Values VarLBP, LBP θ 0, and LBP θ 1 in Table 1 represent local binary pattern variance (which is a classical property of the LBP operator [19]) and the angles defined by them, as detailed in [18].
The second source is sampling variance, which is a result of studying a sample rather than the entire population.
Although the average fiber area did not differ between wild type and transgenic mice (719.7±10.9 µm2, n = 1251 fibers for wild type versus 707.7±11.7 µm2, n = 1719 fibers for Myo-CELFΔ-370, P = 0.22), the variance, which is a measure of the variability of the data, was significantly different (P<0.0001).
This review introduces one-way analysis of variance, which is a method of testing differences between more than two groups or treatments.
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The item variance, which is an indication of the measurement error, was taken into account in this analysis.
Squaring the standard deviation (SD) gives the "variance," which is an additive measure convenient for calculating changes in variability.
The regression residues versus the estimated response) doesn't indicate evident inequality of variance, which is an important assumption of linear regression the requires that regression residues are independent of the expected value of Y.
Among 8 QTL s detected by Yuan et al. [ 40], the QTL on LG4 explained 23.32% of the fruit length variance, which was a dominant QTL.
The logistic regression model without the distance to TSS for the significantly associated SNPs explained 11-25% of the observed variance, which was an increase of 4-11% when compared to the empty model, which only included the effects of the genotyping arrays.
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