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average estimator
In particular, the precision of the moving average estimator (MAE) and the best linear unbiased estimator (BLUE) for genotypic values in mass selection were compared.
      
For the first test we measured the dependence of the performance of the moving average estimator on the window size.
      
Hence for homogeneous sampling, the average estimator from Section 2.3 is the minimum variance convex combination of the Xj.
      
If all estimated variances are zero, use the average estimator.
      
On the other hand, the average estimator is susceptible to the effect of high variances.
      
This arithmetic average estimator is unbiased and of minimum variance.
      
The average estimator is special case of the following class of estimator.
      
The ordinary the riverbed, because no soil samples were collected from the kriging is a weighted-linear-average estimator where the land surface.
      
We have seen in Section 2.6 that the average estimator is the minimum variance convex combination only when sampling is homogeneous across OPs.
      
 

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