Sentence examples for limits of reliability from inspiring English sources
It was hypothesized that knee rotation measurements obtained with the new device will have acceptable limits of reliability for clinical use and interpretation.
It was found that the knee rotation measurements obtained with this device have acceptable limits of reliability for clinical use and interpretation.
The results support the hypothesis that the device has acceptable limits of reliability, and specifically, repeatability of the device was found to be within 5° of rotation.
The second method uses the Chebyshev inequality which describes the lower limit of reliability index.
Again the Monte Carlo simulation is used to calculate the probability density of the lower limit of reliability index.
Although Cronbach's alpha represents the lower limit of reliability of a measurement instrument and is a conservative estimate of actual reliability [ 41], scales that did not meet the 0.70 standard should only be used for descriptive analyses.
The analysis allowed us to pinpoint the gene specific number of transcript templates that defined the limit of reliability with respect to number of cells from that particular source.
We excluded from subsequent comparative analysis all tissue/gene data for which the expected number of tags (e) was less than 5, which is the lower limit of reliability for the χ2 statistic.
The council listed a host of weak spots in the system: rate formulas that encouraged utilities to upgrade transmission but that did not reflect risks in the new markets; companies making money from pushing the limits of the reliability rules; and "reliability responsibilities" being divided among many entities because the integrated utilities had been broken up.
This is performed within reasonable limits of data reliability, sampling error, and in disconnection from theoretical postulates.
Such chemicals with few to no neighbors in the calculation report (https://comptox.epa.gov/dashboard/dsstoxdb/calculation_details?model_id=22&search=27633) do not have enough representatives in the training sets of the models and indicate the limits of model reliability.
