The phrase "alter model" is correct and usable in written English.
It can be used when discussing changes or modifications made to a specific model, whether in a technical, artistic, or theoretical context.
Example: "To improve the accuracy of our predictions, we need to alter the model to account for new variables."
Alternatives: "modify the model" or "adjust the model".
Finally, by observing the effects of parameters on the formulas thatwe obtain, we can determine how changes in parameters will alter model solutions, as wehave demonstrated.
In particular, we can alter model 1 by starting with 92 persons who have only hunting propositions, parenting propositions, and sky origin propositions.
With Flow, you can bump up or down the hue or brush size in Photoshop, alter model angles in AutoCAD, switch layers in Illustrator, select frames in a video editing app, and more.
The use of varying data source may not only alter model predictions and the associated predictive uncertainty but also have direct impact on the transferability of model parameters.
With a workable model of epithelial cell behavior, we then alter model parameters and assess whether we can realistically mimic epithelial scattering.
The likelihood ratio test showed that including the quadratic term did not significantly alter model fit (p = 0.86 for age, p = 0.078 for LINE-1), and that including the cubic term did not significantly alter model fit (p = 0.87 for age, p = 0.084 for LINE-1).
Whereas acute psychosocial stress did not alter model-based behavioral control, we found chronic and acute stress to interact in their detrimental effect on decision-making: subjects with high but not low chronic stress levels as indicated by stressful life events exhibited reduced model-based control in response to acute psychosocial stress.
Measures of Health Related Quality of Life (HRQOL) have not only become popular investigative tools, but also have been used in an effort to define and alter models of health care delivery.
Fitting of the regression model was done using stepwise backward elimination, with variables retained if their removal markedly altered model parameters [ 27].
This document presents a series of simulations, examining the effects of altering model parameters on two of the epidemiologic outputs: incidence and mean duration of the first episode.
Cohort effects: Simulation effects were represented by altering model parameters for sets of entities created (i.e. "born") during specified time intervals as the simulation was running.
