Sentence examples for using the robust modeling from inspiring English sources

We generated an ENM for A. transcaspicus using the robust modeling approach implemented in the program Maxent v3.1 [31].

Using the robust stochastic model parameters as a benchmark, we estimate a logistic regression model which helps us make quality decisions in an uncertain environment through early monitoring of the success of music albums.

The results obtained using the robust Poisson model (PR = 1.54,95%CI = 1.22,1.94) were very close to those obtained from the random effects logistic regression.

Normalization was performed using the Robust Multichip Average model [ 78, 79].

Data was normalized using the Robust Multichip Average model [ 86] from R/Bioconductor package.

Consistent with the pairwise comparison results, when using the robust codon-substitution model in PAML, purifying selection was also determined to have acted on the C2-PLDs (see Additional file 4).

Using the robust method for estimation, model fit worsened.

Arrays were normalized using the Robust Probe-level Linear Model (PLM) provided in the AffylmGUI package using the default parameters.

Briefly, normalization was carried out using the Robust Multichip Average (RMA) model implemented in the R package Affy, using default settings.

With R, the superpopulation variance estimate from Equation (5) can simply be obtained using the command V2 <- V1 + M1$naive.var All along this paper, the WC model using the robust variance estimator V ^ 1 β ^ in Equation (3) will be denoted by WC1, while the WC model using the Lin's superpopulation variance estimator V ^ 2 β ^ in Equation (5) will be denoted by WC2.

We processed the probe expression values using the robust multi-array average (RMA) model for convolution background correction, quantile normalization and summarization [ 106, 107].