Sentence examples similar to unnecessary models from inspiring English sources

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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.

This chapter summarizes the basic concepts for model validation, which include residuals, normal distribution of random errors, missing terms in the functional part of the model, and unnecessary terms in the model.

Does this move render black models unnecessary; if jobs for "African Queens" are not being given to African women, what does that say about black models being disposable?

The principle we used in choosing a model is that a parameter is unnecessary in the model if it does not change noticeably either the relative or the absolute magnitude of the performance indicators of the hospitals.

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