The phrase "appropriate for models" is correct and usable in written English.
It can be used when discussing suitability or relevance of something in relation to models, such as in fashion, design, or data representation.
Example: "The clothing line is designed to be appropriate for models, ensuring that it fits well and looks appealing on the runway."
Alternatives: "suitable for models" or "fitting for models".
Logistic regression is a multivariable method devised for dichotomous outcomes [24] and particularly appropriate for models involving disease states [25].
In this study, different height-age model forms were found to be appropriate for models fitted for P. radiata at a national level, and at a regional level.
Brock and Durlauf [49] further suggest Bayesian analysis as a method to quantify model uncertainty, but argue that a robustness analysis is most appropriate for models which are characterized by rather similar purposes.
This method is not appropriate for models which are not nested one on the other, in such situation; we will use another method such as the Akaike information criteria (AIC) and Bayesian information criteria [22].
Denominator degrees of freedom for F-tests were estimated using the Kenward-Rogers method, which is appropriate for models with complex covariance structures [28], [29].
The frequency of sampling isofunctional homologs of ppk1, ppx and pstS showed a significant difference from the null model (p-value = 0.001, 9.674×10−5 and 3.08×10−6 respectively (d.f. = 37), calculated using a Fisher test analysis of deviance as is appropriate for models based on quasi-likelihood [50]).
These models are limited to spherical particles, which are only appropriate for modelling gas atomised powders.
A probabilistic framework is the most appropriate for modeling such interactions.
The P-M model is appropriate for modeling the experimental hysteresis loop and energy consumption of concrete.
Sharp's double-panel prediction model was found appropriate for modelling both single- and double-panel doors.
Generalized linear models – in particular, logistic regression models – were found to be appropriate for modeling occupant behavior.
