Sentence examples for extend parametric from inspiring English sources

Bellamy et al. [ 8] extend parametric event time models to clustered and interval censored settings by introducing additive frailties to the linear predictor.

Then, finite element models simulating the behavior of the tested specimens were developed and, after validation, extended parametric studies were carried out.

By using the developed FE model, the mechanical behaviour of the column is further discussed in details and extended parametric studies are undertaken to elucidate the effects of various influencing factors on the behaviour of the column and its components.

Taking advantage of past literature contributions and existing design standards for glass, an assessment of several available formulations to account for the cumulative stress effects of combined design loads is first carried out by means of selected case studies and extended parametric analytical calculations.

The FE used to extend the parametric study beyond the limited number of specimens performed experimentally.

The findings of the experimental work were integrated with a theoretical analysis based on the strain computability and force equilibrium to extend the parametric study.

This mathematical model is used to extend the parametric space and to highlight the effectiveness of the high stable branch of the VIV-galloping curve to harvest energy.

In this paper, we extend their parametric optimality criterion to a semiparametric setup, where we only need to specify some moment conditions for the null or alternative regression model.

For this purpose we extend flexible parametric survival models for relative survival, which use restricted cubic splines for the baseline cumulative excess hazard and for any time-dependent effects.

The objectives of this study were 1) to extend classical parametric WGP models, specifically RR-BLUP, BayesA, BayesB and BayesCπ, to explicitly account for residual heteroskedasticity, and 2) to assess potential gains in prediction accuracy by explicit modeling of residual variances as a function of various environmental or management factors in simulated and actual livestock performance data.

This model is extended with parametric uncertainties.