Sentence examples for estimates we propose from inspiring English sources
Based on these error estimates, we propose an algorithm for optimally choosing both the dimensions of the reduced basis approximations and the sizes of Monte Carlo samples to achieve a given error tolerance.
Based on our phylogenetic estimates, we propose a refined classification for Staphylococcus with species being classified into 15 cluster groups (based on molecular data) that adhere to six species groups (based on phenotypic properties).
Using sampling encompassing the known geographical range of the complex, a combination of mitochondrial and nuclear data and several analyses (phylogenetic inference, genetic structure analyses and divergence time estimates), we propose an evolutionary scenario for this complex.
Thus, based on these cutoff estimates, we propose the following groups of lncRNA genes: 1) lncRNAs-1, length from 200 nt to 386 nt, 2) lncRNAs-2, length from 386 to 2,345 nt and 3) lncRNAs-3, length >2,345 nt.
Instead of dealing directly with the ML estimate we propose to use a suboptimal approach that offers a reasonable good performance and that allows for its distributed computation.
Rather than applying equal weights to each position estimate, we propose an unequal weighting scheme which emphasizes those summands in the averaging process that are more reliable than others.
The case study compares economic impact assessments and finds using benefit estimates as we propose provides a useful method of estimating benefits with limited data.
Instead of using purely data-driven estimate methods, we propose a new estimate method to select the optimal number of clusters by incorporating gene functional category information.
Therefore, as a new approach for estimating n, we propose H infinity filter that does not need a state variation detector as opposed to the cases of previously proposed approaches.
In other words, given a current estimate π, we propose to select the best experiment to perform as the one that minimizes R e; π).
Based on these estimates, we then propose an analytical statistical model of the interference power, based on a modified Burr distribution, which includes five parameters.
