Sentence examples for selection to estimate from inspiring English sources

We develop a set of multiple linear regression models, using principal component analysis to guide independent variable selection, to estimate current, altered streamflow from a full range of both natural and anthropogenic basin characteristics.

We combine multiple imputation with stepwise variable selection to estimate the Q-functions and subsequently the optimal treatment regime.

Moreover, we combine the two groups to perform a feature selection to estimate the structural features with the highest classification ability in order to optimize the classification performance.

These four data sets were used to make selection, to estimate the selection response and the genetic expected gains; the results were presented in Table 4.

We performed multivariate Cox regression analysis with backward selection to estimate the adjusted HR for mortality of all-cause and MAC-LD disease progression.

The aforementioned multilocus methods all adopted the structured-coalescent model of selection to estimate the selection parameters (Coop and Griffiths 2004; Slatkin 2008), which is also the model used in our proposed method.

Application of new methods, from measuring natural selection to estimating speciation rates, holds much promise for improving our understanding of the relationship between floral specialization and evolutionary success.

In supplementary material (Table S2) we also took the pooled observed frequencies among 3 and 4 year old (entering the fishery; "pre-selection") and among 8 13 year old (ages at which frequencies do not change much and the brunt of the fishery is over; "post-selection") to estimate the weights and standard errors based on variance of ratios.

We used the ancestral selection graph to estimate the scaled selection coefficient that would give rise to the observed skew towards rare derived alleles at regulatory polymorphisms.

To identify the putative amino acid residues under positive selection and to estimate the strength of the selection, two pairs of likelihood-based models implemented in the PAML [ 69] package was used.

This result suggests the presence of selection bias, thus lending support to the use of a sample selection framework to estimate separate SPFs for the beneficiaries and control groups.