Sentence examples for eliminating model from inspiring English sources

Jessica Peters, an agent with Prudential Douglas Elliman, says she uses virtual staging for apartments in the same line to show their potential, minimizing the need for expensive model apartments, or in smaller developments, eliminating model apartments altogether.

Moreover, it enables us to investigate the intrinsic relationship between the model parameters, identify possible degeneracies in the parameter space, and optimize the model by eliminating model redundancies.

On one hand, by eliminating models for even understandable faults, Banks seeks to impart harsh lessons about an industry known for its superficial strictures.

Thus, accelerated progress requires more generalized modularization and integration methods that facilitate limiting, if not eliminating, model-specific refactoring.

For example, the majority of the affected progeny were the result of matings of two unaffected parents, eliminating models of a single dominant deafness allele.

Regression analysis proceeded in a stepwise fashion, testing variables as described above as predictors of the mortality rate ratios and eliminating models that did not achieve significance at p<0.10 or very close to it.

To eliminate model misspecification, we also used Bayes factors with the above-mentioned criteria to evaluate the relative merits of homogeneous models and mixed models.

The best way to eliminate model bias in X-ray crystallography is to utilize experimentally measured phase information.

The same Phoenix base mortality model was applied to source apportionment analyses of all groups to provide a consistent basis for comparison across source components and groups (i.e., to eliminate model specification variability from the analysis).

Apart from cross-validation or related methods like bootstrapping and permutation tests, it is also highly recommended to use an independent dataset, the test set, to assess the accuracy of the model to eliminate model overfitting.

Inductions depend on the addition of information to models, which sometimes eliminates models of possibilities.