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We use MRRMRR with | rLWS A | as the relevance measure and | r ~ ∗ | as the redundancy measure, because such choice turned out to provide the most reliable results for contaminated data in the study on contaminated data in Section 4.1.
Figure 1 clearly shows outliers for contaminated data.
Hence, using MLE based model selection criterion in presence of contaminated data may be erroneous.
The index-robust distance plots are given in Fig. 1 both for clean and contaminated data.
Robust statistics offers tools that can reliably work with contaminated data.
Hence, the use of MLE or MQLE in the presence of contaminated data may give misleading results.
Similar(33)
The information the Fed releases on bank deposits is similarly biased and contaminates data on the money supply and thereby on the liquidity of the economy produced by Federal Reserve policy.
Note that in passes where ion drifts calculated at one end of the satellite pass were contaminated by data of poor quality, then data from only the other end of the satellite pass were used as the offset value.
In order to assure that base line drift and low frequency motion artifacts do not contaminate the data, the data were high-pass filtered in 4 30 Hz, leaving out the delta and gamma band.
This could be attributed to the variation in the model parameter sensitivities and noise level that contaminated the data.
It has been found from this study that damage scenarios involving as low as 10% loss of stiffness in multiple elements are accurately determined (localized and severities quantified) even when 2% noise contaminated modal data are utilized.
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