The phrase "modelling practices" is correct and usable in written English.
It can be used to refer to approaches used in modeling activities or processes. For example: "We need to investigate new modelling practices that can help us estimate the number of new customers."
This may be partly due to inconsistent modelling practices, but even when a model has been carefully built and is structurally identifiable, the amount of data required for a perfect calibration (practical identifiability) is usually large.
However, the lack of reliability in current modelling practices detrimentally impacts planning and management decision making.
First, free-format modelling practices in requirements engineering activities may lead to low quality artefacts and productivity problems.
Several explanations for the different causes for this phenomenon exist along with the modelling practices to predict the effects based on these causes.
Optimal experiment design for parameter estimation (OED/PE) is an interesting technique for modelling practices when aiming for maximum parameter estimation accuracy.
An overview of current design practices for submarine pressure hulls is presented, along with the results of a survey of the literature that was conducted to determine standard nonlinear numerical modelling practices for those structures.
Afterwards, the velocity is modelled through a surrogate modelling practice, and the model is validated both experimentally and statistically.
However, we suggest a minimum standard of model description for good modelling practice, namely the provision of source code and an accessible natural language description, and argue for the development of a common standard.
Recent changes in environmental modelling practice have included adoption of modern software engineering concepts of model reuse, extensibility and flexibility, and development of better visual user interfaces.
The paper presents the modelling practice and considerations for a multivariable process with a first-principle model and three redial basis function (RBF) networks.
Basic guidelines for good modelling practice are also provided.
