Sentence examples for analysis of fits from inspiring English sources

On the basis of the analysis of fits through "goodness-of-fit" statistics, the full mixed inhibition model was determined with the equation ν = Vmax/ [((KM/[S]) × (1 + [I]/ Ki) + (1 + [I]/(α × Ki])], where [S] = [FBP], [I] = [HCA], and Ki is the constant for dissociation of HCA from free SaFBA.

The analysis of fit of the regional and global model to all available southern African ground data indicates a similar performance with the regional model providing slightly smaller root-mean-square misfit.

Analysis of fitted parameter values: Identifiability, correlation and confidence intervals of fitted parameter values.

A more detailed cost-effectiveness analysis of FIT by one of the models that found FIT to be dominated shows that, at a cost of $17.25 per test, FIT would be a cost-effective alternative to Hemoccult SENSA (at a per-test cost of $4.5051(51).

A comparative evolutionary analysis of Fit toxin-producing Pseudomonas including the insect-pathogenic bacteria Photorhabdus and Xenorhadus, which produce the Fit related Mcf toxin, showed that fit genes are part of a dynamic genomic region with substantial presence/absence polymorphism and local variation in GC base composition.

The analysis of fit indices and chi-square change (and its level of significance) indicate good fit and confirm that the scale has the same factor pattern (Hypothesis B), factor loadings (Hypothesis C), variances and covariances of errors of measurement (Hypothesis D), and factor variances and covariances (Hypothesis E) for French and English speakers.

The QTL heritability was calculated as the proportion of the phenotypic variance accounted for by the QTL, and this is calculated from the residual mean squares from the regression analysis of fitting a QTL or no QTL as [1- residual mean square of full model/residual mean square of reduced model)].

The best analysis of trump fits was written by Albert H. Morehead, the original bridge columnist for The New York Times, in his excellent 1964 book, "Morehead on Bidding".

This conclusion was reached on the basis of statistical analysis of the fits by models with different levels of complexity.

Analysis of data fits and variability amongst the models emphasizes the advantages of representing the data using multiple conformers.

The outcome variable in the regression analysis and the goodness-of-fit analysis was the time to the end point from the day of discharge from index admission.