Sentence examples for unnecessary model from inspiring English sources

Understanding the role of the nonlinearity in the model enables us to minimise unnecessary model complexity, which decreases both the sensitivity of the model and the number of parameters.

70 This allows unnecessary model complexity to be simplified, balancing computing speed against accuracy.

One advantage of the Bayes factor is that it automatically penalizes unnecessary model complexity in light of the experimental data.

Therefore, it is unnecessary to model a first-stage model to control for the probability of purchasing auditor-provided tax services, as is done by McGuire et al. (2012).

Note that when some of the variables are fully observed, it is unnecessary to model their distribution and the imputation model can be a model for the conditional distribution of the remaining variables given these.

Table 1 CT scan for OR indication (with 95% CI)   NNS NNH total NNH: Suboptimal informed NNH: Unnecessary radiation Model 1 (CT on request) 2.4 (0.42) 3.4 (0.39) 8.1 (0.78) 5.9 (1.04) Model 2 (CT for all) 4.1 (0.30) 1.3 (0.03) 0 1.3 (0.03) Total NNH values are in bold and those of the two subgroups are in italic.

Having a new general framework was needed in part to reduce unnecessary, cross-model redundancies between different candidate CELLS during analogue refinement, and facilitate an iterative model refinement process capable of automated cross-model validation.

In order to avoid unnecessary linear local models in the primary model bank, a gap based metric is introduced and applied in order to merge similar linear local models.

Grants-in-aid are unnecessary in any model as long as the policy environment is truly first-best, and a perfect correspondence of jurisdictions exists for all allocation problems.

Following Occam's razor, we decided not to make assumptions on such biasing signal; as it turns out, this feature was indeed unnecessary for the model to be able to simulate and explain the phenomema of interest here.

We tested the dominance deviation for all the SNPs and we found that only one of the SNPs showed significant deviation from additivity, thus making the use of the assumption-free model unnecessary, although, as a general rule, we suggest that both models are considered initially.