Sentence examples for parsimony measures from inspiring English sources

Ontological simplicity, or parsimony, measures the number of kinds of entities postulated by the theory.

The appropriate number of latent classes was selected by comparing goodness-of-fit of models, including the most widely used parsimony measures of model fit: the Bayesian information criterion (BIC), Akaike information criterion (AIC), and Pearson's χ [ 25].

A parsimony measure indicates that the punctuated-centric view better accords with archaeological records, and the geobotany and biology of the species, and requires fewer assumptions.

There is, however, a slight bias toward underestimating the true tree weight, as one would expect for a parsimony measure.

The parsimony score measures how far away the clustering tree is from the true classification of the samples.

Whether one uses cladistic parsimony, distance measures, or maximum likelihood methods, the typical question is which tree is the best one, not whether there is a tree in the first place.

Beside bootstrapping, popular tools frequently used by systematists were for some time the estimation of consistency and of tree length distribution under the parsimony criterion [ 104- 108] and derived tests that measure departure from a model of randomness.

In addition to these two age estimates using strict parsimony, the PGL measure is calculated for all genes (see Materials and Method for detail).

AIC is a measure of parsimony of a model and VIF is a measure of collinearity of a model.

Trees reconstructed with combined AFLP data from the New Zealand species of Ourisia using NJ (with different distance measures), maximum parsimony (MP), and Bayesian estimation generally had very similar topologies and support values (e.g., Figs. 2B and 3; Table 1).

To this end, we compared log-likelihoods, tree length (measured by parsimony steps of the phylogeny and ML tree size), and the average of aLRT branch support [57] as well as the Robinson-Foulds tree distance [58] to the ant and bee MAP trees using the TreeDist program in the PHYLIP 3.69 package [59].