The phrase "a more robust modelling" is correct and usable in written English.
It can be used when discussing improvements or enhancements to a modelling process or system, particularly in technical or academic contexts.
Example: "The research team is developing a more robust modelling approach to better predict climate change impacts."
Alternatives: "a stronger model" or "an enhanced modelling approach".
The result is a more robust model for the productivity of fibers by free surface electrospinning from a wire electrode.
It must be phased out as existing contracts come to their end and gradually replaced by a more robust model for all schools, such as that of the maintained trust school introduced by the Labour government in 2006.
In Chapter 4, I employ these previous analyses in returning to the level of culture change in order to build a more robust model of cultural hybridity in early imperial China.
The tools used in machining vary in shapes and design hence a more robust model is required to include these varieties.
In this work all variables are treated at the same time in a single design to study the interactions and give a more robust model while requiring a lower number of experiments.
To estimate scores accurately, a support vector regression (SVR) technique was introduced as a more robust model.
Therefore, the new model is found to be a more robust model in comparison to Altman's, Ohlson's and Zmijewski's models.
This thus creates a more robust model because adding more of these binary classifiers which increases the stability and informative ability of the subspace co-projection when faced with a multi-class scenario.
In the future, more extensive data, both from unthinned and thinned stands covering wider range of ages, densities and site qualities, would allow a more robust model to be developed, that could be extended to model the effects of climate and nutrition, and biomass and carbon outputs.
Hence, while the algorithm handles the non-convergent model issue, should the simulations be noted to fail to converge either at an appreciable rate or in regions of the search space where the suspected location of the optimal value, a more robust model code should be used.
