Sentence examples for considerable estimation from inspiring English sources

However, the first-order AR model possibly incurs considerable estimation error and results in numerous erroneous symbol decisions [27, 28].

This is because RSS based localization is traditionally viewed as a coarse measure of range, which features considerable estimation error due to several negative effects related to signal propagation and suffers inapplicability in rapidly changing environments (Patwari et al. 2003; Whitehouse et al. 2007; Moravek et al. 2011).

UNHCR population figures from Farchana and Breidjing camps for 2004 and 2005 [ 24, 25] are available for comparison with population estimates in MSF operational reports (Table 3); in 2004, use of MSF population figures would have led to a moderate over-estimation of death rates in Farchana and a considerable under-estimation in Breidjing, assuming UNHCR figures to be closer to the truth.

Another finding was that adding the internal standard on top of the soil in the extraction cell causes considerable over-estimation of the concentrations when large samples are extracted with small solvent volumes.

However, as many mangrove areas are often patchily distributed over considerable distances, estimations of area of occupancy or extent of occurrence for mangrove species were conservative.

Even after allowing for considerable under-estimation of coverage, however, many London areas still remain at high risk.

Reported distance to Kalongo hospital was less than the actual 28 km, with reported time taken also lower than feasible; this suggests people may have stayed somewhere on the way or considerable under-estimation.

Finally, it is shown that considerable improvements in estimation and prediction accuracy are obtained by including extra ranking steps in an experiment.

Recently, there has been considerable interest in estimation consensus problems from the signal processing and communication community, with more emphasis on link uncertainties [2 4].

We also demonstrate that sequence data quality is important because even moderate levels of sequencing errors result in a considerable decrease in estimation accuracy for realistic levels of population genetic variability.

Taking into account that the mitotic time is relatively short and the number of cells in mitosis can be regarded as negligible, the omission of mitotic cells may not have a considerable impact on estimation of the total number of BrdUrd-labelled cells.