Sentence examples for biggest estimation from inspiring English sources

Exact(1)

In most cases, the estimation value and the standard value are in a good agreement and most errors are less than 20%, and the biggest estimation error occurs in the estimation of the radiative efficiency of fluorinated ethers which contains several carbon atoms because of the complicated structure of fluorinated ethers compared with hydrocarbon.

Similar(59)

Road slope estimation shows bigger estimation error due to the severer vibration caused by climbing up the steep road.

However, too many missing values in a gene will result in big estimation error and reusing a gene with too many imputed values will reduce the imputation performance.

Green big data: Estimation and calculation of energy consumption for big data analytics is challenging.

The E6 sample demonstrated the biggest discrepancy in estimation of parenchymal content (FC estimate 37 vs 80% histological assessment), which may be explained by the fact that the sample contained a large muscularis propria component, which could account for the high proportion of non-staining FC events.

This role has grown as "knowledge-based" economies have begun to replace the old widget-making versions, and businesses have become more complex.The biggest boost to estimation, however, has come from the gradual shift to "fair-value" accounting.

For West Ham, the impressive Ashton (who went up in my estimation big-time when I read his favourite label is Penguin) is fit, as is the zippy, touchline-hugging Etherington - but Etherington may only last until half-time apparently.

For the crossing point estimation, a bigger difference between the α h and β h will lead to a bigger difference between the Doppler signals, and therefore results in a better estimation with higher accuracy.

Edie, 5 years old and 62 pounds, is already too solid, in her mother's estimation, too big for her age.

However, both of the analytical approaches show a big discrepancy in the estimation of the exponent which is critical to identify the type of nucleation and growth mechanism in the non-isothermal crystallization even though they have been derived from the same Avrami approach.

The presence of such outliers may provoke big errors in the estimation.

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