"error amount" is a valid phrase in written English.
You can use it to refer to the amount of mistakes or inaccuracies in something. For example, "The error amount in the report was unusually high, so the team decided to run a few more tests."
This off-line visual feedback therefore provided only the final error amount and direction, and could not be used to adapt to the dynamics along the trajectory.
For CO modelled error amount, a range of error types were simulated and effects on risk ratio bias and significance were observed.
As already described, the relationship between this base case time-series and a simulated time-series is that expected of the average relationship between the true ambient time-series for all people and a population-weighted average time-series based on measurements in terms of error amount, with different error types evaluated.
John Edwards polled 26%, which, given the margin of error, amounts to a dead heat.
The study says the error amounted to 10% of global emissions in 2013.
This error amounts to 0.4 mm ± 0.3 mm for the entire period.
As mentioned above, the mean square error and root mean square error amounts for the ANN-GA model is lower than others and the determination coefficient R 2 exceeds the corresponding value for the other models.
But the program "faces a difficult task in finding an appropriate balance between ensuring that Medicare only pays for services allowed by law and making it as simple as possible for providers to treat Medicare beneficiaries and bill the program". In 1999, payments made in error amounted to $11.9 billion, the government has reported.
The mean error amounts to 5.9%.
Total or mean scores on primary and secondary outcome measures that were missing due to lacking responses from participants or administrative error amounted to 7.14% of all observations.
For scenario 1, type I errors amount to 0.414 and 0.3 for the direct approach and the logistic regression, respectively, whereas type II errors amount to 0.014 and 0.020 (cf. Fig S9, S10 and S11 for detailed distributions of scenario probabilities).
