Sentence examples for models produced statistically from inspiring English sources
Phylogenomic analyses of nucleotide and amino acid sequences, with site-specific nucleotide or domain-specific amino acid substitution models, produced statistically robust and congruent results resolving previously controversial phylogenetic relations hips.
However, the medium strength (MED) and strong (STRNG) force-feedback models produced statistically significant improvements over the basic no force-feedback model (NF), and (STRNG) even over (NF-HINT), in which a strategy was explicitly provided to the test subject.
For most of the analytic scenarios considered, the time-series models produced statistically significant effects of PM10 on total mortality.
In general, we recommend choosing the simplest model, with the least number of fitting parameters, when multiple models produce statistically inseparable results.
Although combining the simplest models producing statistically indistinguishable V(Y) values for the individual systems is conceptually appealing, these models may not represent the best DLM descriptions of the systems.
Both restricted models produce statistically significant E-R slopes.
The CoMFA model produced statistically significant results with cross-validated and conventional correlation coefficients of 0.494 and 0.986 respectively.
The CoMFA model produced statistically significant results, with the cross-validated and conventional correlation coefficients being 0.544 and 0.986, respectively.
The CoMFA model produced statistically significant results with the cross-validated q2 of 0.594 and the conventional correlation coefficient r2 of 0.968.
The best CoMFA model produced statistically significant results, with the cross-validated (r2cv) and conventional correlation (r2ncv) coefficients being 0.557 and 0.991, respectively, for the 21 training set compounds.
A robust model was developed which produced statistically significant results with cross-validated and conventional correlation coefficients of 0.619 and 0.990, respectively.
