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The simplest variance pattern assumes equal variance among the repeated measurements.
The two components allow for a simple QTL-by-environment model in which the common effect allows for correlation between environments, much in the same manner as the simplest variance component mode for genotype-by-environment modeling.
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In the simplest case, variance increases as a linear function of the mean, i.e., the variance is a constant multiplied by the mean, Var y) = kμ.
The scatter plot of the simple kringing variance and the ordinary kriging variance is shown in Figure 18.The simple kriging variance is only slightly smaller than the error variance estimated with the ordinary kriging.
The scatter plot of the simple kringing variance and the ordinary kriging variance is shown in Figure 18.The simple kriging variance is only slightly smaller than the error variance estimated with the ordinary kriging. Figure 18 Porosity: a) The scatter plot of SK estimate and OK estimate for porosity; b) the scatter plot of SK variance and OK variance for porosity.
The scatter plot of the simple cokringing variance and the ordinary cokriging variance is shown in Figure 20.
The scatter plot of the simple kringing variance and the ordinary kriging variance is shown in Figure 17.
Figure 17 shows that the simple kriging variance is smaller than the error variance estimated with the ordinary kriging.
The simple kriging variance map is shown in Figure 8b variance of permeability.
The ordinary kriging variance map is shown in Figure 4b, which is smoother than that of the simple kriging variance map.
The ordinary cokriging variance map is shown in Figure 11b, which is more smooth than that of the simple cokriging variance map.
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