Sentence examples for error is important from inspiring English sources
Precise evaluation of form error is important for quality control in the manufacture of camshafts.
Evaluation of profile error is important in manufacturing and detection of complex surface.
Selecting an appropriate measurement of error is important and depends on the problem space, within the literature the error is also referred to as the 'cost' and the 'loss'loss
Clearly, the fidelity of the nuclear cross-sections is essential to correct specification of shield design and sensitivity to cross-section error is important in guiding experimental validation of cross-section models and database.
Simulations showed that the original one-sample log-rank test may be preferred if strictly controlling for type I error is important or when the sample size of a phase II trial is as large as 50, and a corrected one-sample log-rank test is used if the sample size of a phase II trial is small.
CONCLUSIONS: Medical staff reported that error is important but difficult to discuss and not handled well in their hospital.
At a sensitive time, when league owners and players are engaged in a labor dispute, this comedy of errors is important because each side claims it is doing only what is in the best interest of the fan.
Nonetheless, they believe that their experience has shown that openly discussing, admitting and even apologizing for medical errors is important not only for patients but also for doctors and the doctor-patient relationship itself.
Understanding and developing methods to deal with such errors is important to inform users of the true quality of laser scanning products, such that they can be used effectively in hydrological applications.
Therefore, the development of methodologies for estimating large prediction errors is important to assist meteorologists who monitor observed data and modify the forecast.
The strength of the rejection of the null hypothesis of independence between errors is important in determining the finite sample properties of the IV estimator, particularly the bias.
