Sentence examples for quantified model for from inspiring English sources

Exact(2)

Claims handling procedure, related forms and the quantified model for determining total loss claims are discussed in the paper.

This paper proposes a quantified model for local and overall thermal sensations in non-uniform thermal environments.

Similar(58)

A formal expert elicitation study was organized to quantify model parameters for a risk assessment model describing the transmission of Campylobacter during broiler-chicken processing in the Netherlands.

The purpose is then to select parameters for quantifying model errors and also to design effective tests for determining the best parameter setting.

A numerical problem of concrete creep is used to demonstrate the processes for quantifying model form uncertainty and implementing the adjustment factor approach and model averaging.

In this work we develop a data-driven, physics-informed Bayesian framework for quantifying model-form uncertainties in RANS simulations.

Recently, a physics-based Bayesian framework for quantifying model-form uncertainties has been proposed with successful applications to several flows.

In this work we propose a random matrix approach for quantifying model-form uncertainties in RANS simulations with the realizability of the Reynolds stress guaranteed, which is achieved by construction from the Cholesky factorization of the normalized Reynolds stress tensor.

Recently, a physics-based nonparametric approach for quantifying model-form uncertainty in RANS simulations has been proposed, where Reynolds stresses are projected to physically meaningful dimensions and perturbations are introduced only in the physically realizable limits (Xiao et al., 2016).

The method alleviates the problem of choosing a suitable distribution for fitting data in SPI analysis, quantifies modeling uncertainties, and propagates them for probabilistic drought classification.

On the same note, most directly sequenced primary tumor samples contain stromal contamination, and our algorithm can quantify and model for the presence of contaminating diploid cells in that sequencing data.

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