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An important issue in data assimilation is the estimation of error covariance matrices.
Furthermore, we get an estimation of error bound for this method.
Our analytical approach to obtaining the implies that the estimation of error rate is achievable without time-consuming simulation, making system level design easier.
However, we rely on ARDL for the estimation of error correction model as it can be applied irrespective of I 0) or I(1).
We have shown that the proposed algorithm is robust because it does not require the estimation of error probability, is insensitive to the high order of Galois field, and has the best detection performances for the most of modulation types.
In this paper, the use of randomization tests as a statistical interpretation method is examined and compared with both graphical (half-normal probability plot) and statistical methods, such as the estimation of error based on a priori considered negligible effects and the algorithm of Dong.
Similar(40)
The regression-based estimation allowed rigorous estimation of errors, seldom reported in water quality data.
It should be noted that the above discussion is the simplest and the most optimistic estimation of errors.
A procedure for estimation of errors in the slice-by-slice measured methyl frequency, based on signal-to-noise ratio considerations, is described.
Consequently, a new sample is predicted, and the estimation of errors can be calculated at the level of iteration and aggregation [25, 26].
But defining a precise validity limit is difficult because unlike the perturbation theory the effective medium theory does not allow quantitative estimation of errors.
More suggestions(16)
figure of error
estimation of fail
assessments of error
estimation of discrepancies
estimates of error
estimation of errors
estimation of penetration
estimation of m
estimation of dispersion
estimation of model
estimation of result
estimation of wind
estimation of dy3K/δE3
estimation of quantity
estimation of input
estimation of health
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Justyna Jupowicz-Kozak
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