Sentence examples for errors which may have from inspiring English sources

Yahoo did not participate in the execution of the votes and was not a party to any errors which may have been made either by a voting institution or a proxy processing intermediary acting on behalf of banks, brokers and institutions".

For another, because of some inevitable errors, which may have occurred, continuous dependence or convergence results are significant.

Faces extracted from poor-quality videos can have higher false detection rate and larger alignment errors, which may have great influence on the performance [35].

There are, however, some measurement errors, which may have attenuated the estimated odds ratios is this study.

In addition, because of the expected low airborne levels, the use of stationary samplers allowed the use of higher flow rates, thereby increasing sampling efficiency and reducing analytical errors, which may have a greater impact at relatively low airborne concentrations.

While, on completion, selective sweeps are characterised by the complete loss of variation within the swept region, we allowed MAF ≤ 0.01 to account for genotyping errors, the possibility of new mutations and assembly errors which may have erroneously assigned a variable marker to a sweep region.

where d ij is the true distance between the i th and j th devices, n ij represents the Gaussian noise with zero mean and variance, and b ij is NLOS error which may have different statistical distributions in practical channel environments.

With the accurate predictions from the LUR models, the assigned exposures appear to reduce measurement error, which may have contributed to the large effect size for circulatory mortality.

Mr. Perry mutters, "Promise?" The movie is another Jonathan Lynn identity-crisis comedy; he directed "My Cousin Vinny" and "Trial and Error," with Michael Richards, which may have been the biggest misuse of the wide screen in the history of big lenses.

This source of variability can be seen as a source of measurement error in exposure, which may have impacts in studies of the association between biomarker levels and health, by impacting the regression models estimates in either direction [ 38] and/or confidence intervals.

Errors (of different types) which may have occurred on a simultaneous basis could lead to a similar effect on fertility (Schoumaker 2014) or an offset (National Research Council 2004; Shryock et al. 1976).