Sentence examples for estimation of taking from inspiring English sources

"Where's the plane?" "Get in!" The accounts of his big accomplishments and small foibles that appeared this week fell short, in my estimation, of taking his full measure, and certainly didn't capture the sheer thrill of those crucial months as everyone — the governor, the legislature, the press corps — climbed the same steep learning curve into the unknown.

Phillips and Hansen (1990) developed a semi-parametric method of estimation to take account of moving average or autoregressive errors.

On the other hand, the estimation of Rodríguez (2010a), despite of taking into account non-linearities in output, does not identify correctly the recession periods after 1990.

The final estimation of Fe takes into consideration the difference between [O2]e and [O2]s such that: 1) it is sufficiently different to allow the gas analyzer to detect it and 2) it does not adversely affect the animal's respiration.

The estimation of accuracy takes the whole data-set into account.

With Cuffdiff 2, the decreasing number of detections is likely related to the inability of the variability estimation to take into account the increasing number of replicates [ 10].

They saw what was at stake and recalculated their estimations of the costs and benefits of taking part.

The ISSM method uses only the frequency information of each sub-band in the estimation without taking full advantage of the entire information of the whole band, so its resolution is low and the coherent signals cannot be estimated.

The technique carries out multi-DOA estimation by taking advantage of the fact that simultaneous speech sources do not completely overlap over each other and, thus, employs a 'divide and conquer' strategy.

We still achieve the estimation by taking the use of the property of PN sequence and preamble structure.

The significance of the test confirms the presence of endogeneity and suggests that estimation of equations without taking into account endogeneity will lead to biased results.