Sentence examples for parametric selection from inspiring English sources

The obtained results propose a parametric selection guideline based on the length matching for rational design of nacreous nanocomposites.

For weekly earnings, the authors report matching average impacts of $30 dollars, while parametric selection models yield effects of $407 dollars.

Hui and Smith (2001 19988 AETS 25-64 nearest-neigbor mandhing and parametric selection models employer-financed, government-financed and self-financed training weekly earnings and employment $30 for weekly earnings and 2.6% for employment for both men and women.

Similarly, Hui and Smith (2001) show that cross-sectional matching methods reduce consistently the magnitude of the estimated effects with respect to traditional parametric selection models in the context of the AETS data.

Besides, the influences of the arrestor height, material strength, aircraft weight and the radius of aircraft wheel on the arresting performance of polyurethane foam material were performed, indicating that a reasonable parametric selection is extremely crucial to obtain the optimal design for the aircraft arresting system.

We study the question of how to represent or summarize raw laboratory data taken from an electronic health record (EHR) using parametric model selection to reduce or cope with biases induced through clinical care.

The BGLR R-package implements a large collection of Bayesian regression models, including parametric variable selection and shrinkage methods and semiparametric procedures (Bayesian reproducing kernel Hilbert spaces regressions, RKHS).

Moreover, as some of these metabolites correlated with each other, especially for the same classes (Fig. S1), we employed two additional statistical methods, the nonparametric random forest and the parametric stepwise selection methods, to identify unique and independent biomarker candidates.

As some of these metabolites are expected to correlate with each other, we employed two additional statistical methods (the nonparametric random forest and the parametric stepwise selection, see below) to identify independent biomarker candidates.

For each outcome, parametric survival and frailty distributions were fitted and results reported for the model preferred by the AIC selection criteria (Burnham and Anderson, 2004).

Most studies on the organic Rankine cycle (ORC) focused on parametric studies and selection working fluids to maximize the performance of organic Rankine cycle but without attention for turbine design features which are crucial to achieving them.