Sentence examples for methods for accommodating from inspiring English sources

I am also interested in methods for accommodating model uncertainty in hierarchical models, and in latent variable methods, including structural equation models.

It means accepting that we have neither means nor necessity to shape the country's institutions, practices and methods for accommodating multiple factions based on ethnicity, region, tribe, sect and personal rivalry.

Continuous frailty (Aalen, 1988) and random effects models (O'Quigley and Stare, 2002) are other common methods for accommodating heterogeneity, but they still rely on the PH framework.

Particularly noted are the need for improved methods for accommodating exposure assessment measurement errors in analytic epidemiologic studies and for improved methods for the conduct and analysis of aggregate data (ecologic) studies.

Owing to the concern that assumptions of particular analytical methods may systematically bias divergence time estimates, we compare several methods for accommodating among-lineage rate heterogeneity for the purpose of estimating the divergence times of modern avian lineages.

Anticipating and mitigating ways in which studies may inadvertently contribute to iatrogenic effects, how and under what conditions clinical staff or members of the study team need to be available, and methods for accommodating international variation are other areas in which the field as a whole would benefit from discussion and higher degrees of agreement.

Reducing hospital length of stay may represent the best method for accommodating expanding volume and reducing costs.

This article develops an adaptive fuzzy control method for accommodating actuator faults in a class of unknown nonlinear systems with unmeasured states.

A method for accommodating traditional TV signals could help Android TV gain a significant leg up when it comes to the set-top platform wars.

Over the last decades, considerable advances in highway operational analysis have been made to develop and apply statistical methods adequate for accommodating different traffic conditions that can be hard to handle through conventional statistical models and methods.

Finally, casting the present method in a proper regression framework should prove useful for accommodating more than two exposures and other confounders that are measured in the study.