Sentence examples for the constrained analysis from inspiring English sources

Exact(23)

Comparing the results of the unconstrained analysis and the constrained analysis using a Templeton tests in PAUP* 4.0b10 reveals that the constrained tree is minimally longer and could not be rejected (unconstrained tree (tree length (TL) = 457.12502) to constrained tree (TL = 458.87502), P = 0.6367).

Bayes Factors were computed by subtracting the harmonic mean of the -log likelihood of the posterior distribution of trees post burnin from the unconstrained analysis from that of the constrained analysis [(B10  = (Harmonic Mean –log Likelihood H1) – (Harmonic Mean –log Likelihood H0)] [76].

The order is not supported under the cost regime 412 in the constrained analysis only.

Results for the constrained analysis combined with matrix A is the preferred hypothesis.

In the unconstrained analysis and the constrained analysis excluding Welwitschia, the Agaricomycetidae was resolved as significantly older than the Pinaceae, but in the constrained analysis retaining Welwitschia the 95% HPDs of node heights for Agaricomycetidae (+ Russulales) and Pinaceae are overlapping.

The constrained analysis combined with matrix A also recovered Cephalosomata, although with a low Bremer support (Fig. 9B).

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Similar(37)

BFs were calculated in Tracer 1.4.1 (Rambaut and Drummond 2007) using, for each constrained analysis, the trace files from the run of highest harmonic mean.

The estimates of g2j, or equivalently of r2j≡g2j/g4j−1, are obtained by a constrained analysis of the series that takes into account the exact results in one and zero dimensions.

The constrained combined analysis yielded two topologies similar to the exclusively molecular analysis for both morphological matrices, except for the recovery of Pedipalpi instead of the (Uropygi Araneae) clade.

Unconstrained and constrained ML searches (constrained under the topology T0 obtained from the constrained ML analysis of the real dataset) under the WAG + Γ 8) + I model were conducted on each simulated dataset using PhyML with re-estimation of all free parameters in each case.

Multivariate statistical methods, including unconstrained and constrained analysis, were applied to examine the relationships between organisms and the water quality as well as physical factors (including plant cover).

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