Exact(7)
We found the forest inventory database to be reasonably functional in its ability to support resource selection analysis in regions where coverage was available, but overall, the data suffered from quality issues related to completeness accuracy, and consistency.
Three subgroups of the initial data suffered from incomplete reporting of personal identification numbers.
However, the follow-up data suffered from high levels of skew and kurtosis which was not substantially alleviated by data transformation.
Outdated but frequently cited in literature introductions, those macro-economic data suffered from numbers of methodological biases and have to be used with caution according to the author of the latter.
All Y data suffered from underestimates in the range of 10 – 20%% of the true activity concentration of even the largest volume sphere (∅ 37 mm), a finding consistent with independent analyses of data (see Fig. 8).
When ADC data suffered from ambiguity (e.g., at time points of diffusion reversal or when motion-related artifacts affected the ADC), we reverted to DWI scans instead of, or in combination with, the ADC data.
Similar(53)
High dimensional data suffer from unwanted variation, such as the batch effects common in microarray data.
Microarray data suffer from missing values for various reasons, including insufficient resolution, image noise, and experimental errors.
In contract, IDF curves developed from NARCCAP data suffer from under-estimation and differ more from RG-IDF curves than the MM5 IDF curves.
Boundary representation models reconstructed from 3D range data suffer from various inaccuracies caused by noise in the data and the model building software.
Most single-cell data suffer from non-specific signals that can't be cancelled out as they can in population assays.
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