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Homoscedasticity of the measurement error was verified by computing the correlation between the fitted values and the squared residuals.
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Finally, in all cases, assumptions about model error were verified using standard procedures for time series analysis.
In this paper errors were verified in corrosion-fatigue tests using a conventional load cell.
Using the Pair-Copula approach in this paper, the day-ahead wind power forecasting errors are verified to possess a Markov property with an optimal order of 1.
Second, the errors were verified and appropriate correction was implemented using topology editing tool, and ultimately error-free digital road shapefile obtained that could be used to create road network dataset.
Any potential errors were verified using the original questionnaires.
The underlying statistical assumptions about the homoscedasticity and normality of the errors were verified visually with regression residuals.
Data including statistical outliers that might represent entry errors were verified and corrected in cases of inconsistency.
Plasmids were sequenced using the oligonucleotide primers listed in Table S4, and errors were verified by sequencing related plasmids for comparison.
The rationality of the error compensation method was verified with an actual processing example.
For example, to reduce data collector error, data collection was verified for reliability and consistency.
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