Sentence examples for spurious choices from inspiring English sources

Proof nets, considered statically as graphs satisfying certain correctness criteria, remove spurious choices relating to the order of rule applications in sequent calculi: in this respect, they represent a purely 'declarative' view on categorial deductions.

ProtTest [ 106] was used to identify an appropriate protein substitution matrix as it has been shown that spurious choice of a matrix can lead to inaccurate phylogenies [ 107].

With this choice, spurious reflections are avoided, even though the thickness of the layer is finite.

"There's been some shameless sensationalism that's gone with this story, but given the choice between spurious headlines and meeting these kids' needs, I'm going to try to the meet these kids' needs".

To check that the results were not a spurious correlation from the choice of ARQ items, we performed correlations of FA and TD from the cluster in the right superior corona radiata with the total ARQ score and each of the four PCA factors (Figs. 5 and 6): 1) thrill-seeking; 2) rebelliousness; 3) recklessness; and 4) anti-social behavior.

In difference-equation formulations we need to take care not to artificially induce oscillations of spurious period through an arbitrary choice of step size.

This dual-thresholding approach and the actual choice of thresholds guaranteed a very small probability of spurious detections for probe selection, as we showed using Monte Carlo simulations and random permutations of probe labels and beta-values (see the ' Methods' section).

Because of the small number of data points available, we could not test a wider range of model choices without a high risk of spurious statistical results.

However, we need to keep in mind i) the possibility of spurious relations, and ii) the problem of the choice of the explanatory variables, which is not an easy task.

Our results indicate that while missing characters and order of addition of genes to an analysis do not influence branch support, inadequate taxon sampling and limited choice of outgroup(s) can lead to spurious inference of phylogeny when dealing with phylogenomic scale data sets.

These existing algorithms are either shackled by spurious harmonics (signal processing approach) or weakened by subjective choice of smoothing parameter (statistical approach) [ 3- 5].