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It was observed that the pounding force predictions from Hunt Crossley models are similar to that obtained in impact experiments while other models produced very different force developments.
An F ratio was calculated to determine to what level the goodness of fit would be reduced such that the reduced-fit model (p < 0.05) was significantly worse than the best fit model, as described by Motulsky and Christopulous.[16] However, the models produced very close fits to the data.
All three models produced very similar results.
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Overall both models produce very similar results.
Some of the very latest diesel models produce very low NOx emissions.
Recently Hornstein et al. (2011) illustrate quite clearly that without on-the-job search, this class of models produces very little in the way of wage dispersion.
It shows that both models produce very similar estimates but that for individuals with diabetes, standard errors from the LMM were slightly smaller than those from the beta GEE.
As before, the second model produced very similar fits (see Figure 3 figure supplement 2).
As a random-effect model produced very similar results to a fixed-effect model, further statistical tests for heterogeneity were not conducted.
As before, the model produced very accurate predictions of the glucose, xylose, biomass and ethanol concentration profiles with the uptake parameter values in Table 1.
Our random-effects model produced very similar findings, with an SIR of 0.76 (95% CrI: 0.68, 0.84) for breast cancer, 0.72 (95% CrI: 0.56, 0.91) for endometrial cancer, and 0.69 (95% CrI: 0.50, 0.90) for ovarian cancer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com