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The greater is the difference between RMSE and MAE the greater is the variance in the individual errors in the sample.
We found insufficient errors in the sample of 100 to warrant a complete data entry check.
The relative errors in the sample standard deviation estimation are also very small in most settings (within 1% in general).
Therefore, the RMSE will always be larger or equal to the MAE and the greater the difference between them, the greater the variance in the individual errors in the sample.
In fact, we expected that most of the reads alignable with a similarity of 90%, but not alignable with 100% match, are due to errors in the sample preparation and sequencing procedure, and cannot be attributed to true differences in the sequence.
Similar(55)
Sampling weights were applied in all models to adjust for the eventual errors in the sampling design and to render results representative at the population level.
As a consequence, there are many errors in the sampling frame which will result in low response rates, and non-response bias.
Only 2 of the 40 national Trump versus Clinton polls over the past month in the HuffPost Pollster database have shown Trump leading ― and we'd expect about that many to be wrong overall simply because of errors in the sampling and survey processes.
Better results were achieved by incorporating prior information about error in the sample covariance matrix.
The chance to incorrectly declare an effect because of random error in the sample is called type I error.
F ST estimations assume that there is no error in the sample frequencies, but with many alleles per locus the precision of sample frequencies is questionable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com