The phrase "assumed variables" is correct and usable in written English.
It can be used in contexts such as mathematics, programming, or statistics where certain variables are taken for granted or accepted without direct evidence.
Example: "In our analysis, we will consider the assumed variables to simplify the model and focus on the key factors."
Alternatives: "presumed variables" or "inferred variables".
We assumed variables used in the modelling fit normal or lognormal distributions and that variable-specific error terms were fixed.
Setting up a pliable digital model allowed gradual updating of assumed variables relating to physical material properties, construction techniques, detail design, and structural concerns.
Nevertheless, for the available zig-zag models, artificial constraints in which the first derivatives of transverse displacement are replaced by the assumed variables have to be employed to avoid C1 interpolation functions in the finite element implementation.
All other assumed variables, including whether the residents lived together with a family member or partner before moving into the SHA, were not explaining weekly family visits (all, p > 0.05).
In this case the discriminant for the different capacity curves is represented by the distance between consecutive stations, assumed variable between 5 and 30 km.
We have assumed variable returns to scale (VRS) because of the great heterogeneity among of the various EU regions and an output orientation.
We also present results of simple 2D and 3D stretching experiments highlighting the importance of 3D flexural effects and the assumed variable elastic thickness on the development of a passive margin and its thermal evolution.
According to this theory, the material constants are assumed variable within the cross section, and are updated through an iterative process so as the equivalent stress and strain at each point coincide with the uniaxial material curve.
We assumed variable ω evolutionary ratios among MEF2 branches in MEF2 phylogeny, and then tested for a significant difference of the ratios based on Likelihood Ratio Test (LRT) (see Materials and methods) [51], [52].
Based on our understanding of the market constraints within the German hospital sector, we assumed variable returns to scale, which may be appropriate when it is impossible to assume that all observed units are operating at an optimal scale [ 34].
We will examine patterns of 'missingness' and conduct a secondary analysis using multiple imputation and assuming variables are missing at random.
