Sentence examples for a reduced estimation of from inspiring English sources

A major reason for the lower mean granule number/rat beta cell relative to previous accounts is a reduced estimation of the mean beta cell volume.

Two outcomes are possible: a reduced range of emissions' estimation (compared to a generic literature review of single LCAs) and in some case meta-models (Lenzen 2008) which enable to estimate environmental impacts of the literature using a simple linear regression model.

Parameter expanded and standard expectation maximisation algorithms are described for reduced rank estimation of covariance matrices by restricted maximum likelihood, fitting the leading principal components only.

METHOD: The improved images are formed as a maximum a posteriori probability estimation of a scatter-reduced (contrast-enhanced) image with decreased noise.

The results reveal that the relative error in the Cav estimation increases with a reduced number of samples and higher variability of the investigated concentration-time series.

The 'political-cultural' variable, the share of Latin-speaking people (LAT), reveals only one significant effect in the estimation models, namely a reduced utilization of nursing homes.

However, in this way, it is likely that the accuracy of the estimation is reduced, given that the estimation would have to rely on a reduced number of samples.

For this reason, a numerical methodology capable to provide a reliable estimation of engine performance starting from a reduced set of measured data represents a very promising approach.

So far, the only validated means to reduce post-processing time have been visual anatomical estimation of lung aeration [9, 11] or the extrapolation of a reduced subset of ten slices from a whole-chest spiral CT [12 14].

Based on a reduced version of this preamble, the same authors propose an iterative approach to CFO and STO estimation in [7] that comes close to the maximum likelihood estimator.

Therefore the heuristic model used for this estimation has to be general enough to be applied to a large set of scenarios with a reduced set of parameters, so simulation is not valid.