Sentence examples for ratio test score from inspiring English sources

Phylogenetic trees were constructed using the maximum likelihood method with the model of substitution, as determined by hierarchical likelihood ratio test score criteria in Modeltest 3.06 [ 63].

In our future research, we propose to develop some test statistics (likelihood ratio test, score test, etc) for pre-testing the hypothesis that the distribution is symmetric (or normal) under the scenarios we considered in this article.

A neighbor-joining phylogenetic tree was constructed with Tamura-Nei's substitution model including invariant sites (I) and Gamma distribution shape (G) parameter (TRN+I+G), determined by hierarchical likelihood ratio test score criteria using Modeltest 3.06 [ 56].

Initially, phylogenetic trees were reconstructed using the maximum likelihood method and the HKY model of substitution, as determined by hierarchical likelihood ratio test score criteria in Modeltest 3.06 for each dataset of NS5A sequences corresponding to each non-responder and end-of-treatment responder in this study.

The same alignments were used as an input for the SLR program version 1.4.1 (Massingham and Goldman 2005), used to confirm the positive selection signatures and to detect the genes under purifying selection: A probability score of 99% and a likelihood ratio test (LRT) score ≥ 9.21 were used as thresholds.

In unreported robustness analyses, a wider range of school characteristics such as school quality (as measured by student/teacher ratios and school resources) and peer impact (gender, ESB ratio, NAPLAN test score by grade, subject and year) are included.

In particular the performance of tests used to assess the effect of a covariate which have good asymptotic properties (Wald test, likelihood ratio test or score test) is not warranted when one is far from the asymptotic conditions.

Using this model with both the likelihood ratio test and score test, we find that the former yields more power while controlling type I error.

Furthermore, for a given choice of model, a statistical test of the null hypothesis displayed in equation 6 can be performed using a standard likelihood ratio test, a score test, or a Wald test statistic, regardless of the underlying functional form of the regression.

Their work shows that likelihood-based methods such as the likelihood ratio (LR) test, score test, and tests based on the method of generalized statistics developed by Weerahandi [ 6], provide efficient procedures for comparing coefficient of variations (CV) in univariate normal populations or from independent samples.

To assess nodal support on maximum likelihood phylogenies, we report Approximate Likelihood Ratio Test (aLRT) scores, which have been shown to correlate with ML bootstrap scores, but require much less computational time [37].