Sentence examples for modeling practice from inspiring English sources

The EMF concept aims to reduce subjectivity in conceptual hydrological modeling practice and includes model selection in the optimisation steps, reducing initial assumptions on the prior perception of the dominant rainfall-runoff transformation processes.

We consider it good modeling practice to create a new model file for every change that is made to a model.

Besides the decision tree method, the International Society for Pharmacoeconomics and Outcomes Research ISPORR) provides guidelines for good modeling practice for each of the above mentioned modeling techniques.

Based on empirical data from process modeling practice, we identify and discuss different labeling styles and their use in process modeling praxis.

Furthermore, current modeling practice enforces a single design hydrograph along the open coast boundary for bridge scour models.

What is especially interesting about this combinational modeling practice is that, apart from greater integration between these different epistemic activities, it has also led to the questioning of some central assumptions and notions on which synthetic biology is based.

She then shifts the philosophical focus from models themselves to modeling practices: abstraction, for example, becomes a component of the activity of producing a model rather than solely an attribute of the model.

In this context, and in order to help subsidiary industries to improve their model quality, we propose the elaboration of product-oriented modeling guidelines, or "best modeling practices", instead of CAD-oriented modeling guidelines.

Once you begin your analysis, follow good modeling practices: perform exploratory data analysis, use appropriate model types, interpret their estimated parameters, check their residual diagnostics, question their assumptions, and validate them with out-of-sample testing where possible.

However, Kuhn's normal scientific practitioners presumably hold the models to be true in their original application, as is the grand theory incorporated in the paradigm, whereas today the emphasis is on modeling practices across the sciences in which the models are almost always known in advance to be false because of their employment of idealizations, approximations, abstractions, etc.

And once you have the modeling skills - practice, practice and practice some more to fully realize the power of predictive analytics.