Sentence examples for inference value from inspiring English sources

If the inference value was >0.5, the GI node was taken to be 'true'true

The resulting tree showed robust support (100% bootstrap and 1.0 Bayesian inference value) for the viral-bacterial group, and surprisingly, the plant DPO proteins clustered with those of the Glomeromycota as a sister group, supported by a 76% bootstrap and 1.0 Bayesian inference value.

The Glomus sp. DAOM-240422 nad4L-rnl also showed a perfect Bayesian inference value of 1.0, but for only two topologies (I and II), thus allowing for the determination of one putative break point at position 161 bp (supplementary fig. 7 C, Supplementary Material online).

The FQFC scheduler assigns two variables with fuzzy inference values for each connection with CID, that is, the priority and the maximum number of packets that connection can transmit in a frame duration.

Bayesian tree inference values were produced using the MrBayes programme [ 85], where Markov Chain Monte Carlo analysis was performed for 100,000 generations using 6 chains.

Bayesian tree inference values were produced from the MrBayes programme [ 81] where Markov Chain Monte Carlo analysis was performed for 100,000 generations using 6 chains.

All similarity network groups were represented in the tree with strong statistical support in bootstrap and Bayesian inference values, except for the identity group 11 that was not represented, because the sequences did not harbor the conserved gene core.

The natural system is modeled by a formal system if and only if the causal process in the natural system is congruent with three elements: (a) measurement of a value of the natural system; (b) inference on that value; and (c) the inferred value in terms of some physical quantity.

This means that there is a mapping (at least a homomorphism) between two entities: (1) measurement values encoded by the formal system, inferences on values, and inferred values, decoded in terms of physical quantities, and (2) the natural system.

Since such an event is unique, Knight argued, it is not possible to compare it with enough similar events in the past to "form a basis for any inference of value about any real probability".

Despite the advantages of Bayes factors and the drawbacks of p-values, inference by p-values is still nearly ubiquitous.