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Exact(13)
The data errors were fixed at 5%.
The data errors are assumed to be uncorrelated so the weight matrix is diagonal.
However, a better forecast needs inclusion of the data errors as well.
Assessing the reliability of such models requires accurate estimation of the data errors.
Validation of such data is important prior to their downward continuation because of amplification of the data errors through this process.
The residual between the observed and modeled data is no more than 1 cm (Fig. 8), which is within the magnitude of the data errors.
Similar(47)
The data error is defined in the following form: (12).
The expected value of the data error in the case of soft thresholding is.
The standard deviation of the data error e for the optimal model is about 12 cm.
In this approach, the statistics of the data error plays an important role.
The expected value of the data error in hard thresholding, in (12), is.
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