Sentence examples for substantial estimation from inspiring English sources

For a more substantial estimation of the substitution effects on uSNP and dSNP, it is necessary to detect the promoter and terminator regions on each corresponding gene.

The quality of the health service data that countries report to WHO may vary, particularly when it involves substantial estimation such as the TB case diagnosis (which requires estimation of all smear-positive cases in the country).

In addition, a more sophisticated technique based on human visual perception to prevent human's perception uncomfortableness caused by substantial depth estimation errors or fluctuations is needed.

At one site we applied the process-based model without substantial parameter estimation, and there were no significant (α=0.05) differences between these results and those obtained using temperature-estimated parameters, despite relatively poorly predicted specific energy budget components (R2<0.8).

A substantial under estimation of the total cost of these interventions at the societal level is likely when patient costs are ignored.

In this analysis, we used a grid cell length of 5 km, resulting in cell sizes of 25 km, which probably leads to substantial exposure estimation error in this metropolitan area.

This may lead to a substantial sub-estimation of the country's ODA and overall DAH.

Empirical evidence from meta-epidemiological studies indicates that without the application of methodological bias-controlling measures in clinical trials, a systematic error effect may manifest itself in the form of a substantial over-estimation of results.

Age categories in the life tables commenced from the 25 34 year group because inclusion of younger age groups resulted in a substantial over-estimation of years of life gained.

Simulation studies will show that for estimating the mortality effects of PM, this model offers a substantial decrease in estimation variance and typically a decrease in estimation bias compared with the standard method of using the current day's mortality time series.

However, since the estimate of each family innovation parameter is based on a small number of observations, the estimated variance would contain a substantial amount of estimation error and thus be biased upward.