Sentence examples for improving goodness from inspiring English sources
Despite statistical non-significance, retaining age served to reduce noise within component plus residual plots, decrease global deviation (thus, improving goodness of fit), and reduce the largest studentized residuals.
Don't sweat it, Droid owners — you can get all up in that marginally improved goodness.
Introducing third component in the envelope of fitting curves did not improve goodness of fitting significantly (the bound positron-electron states were not proper for studied Se-based ChG in full agreement with previous results [17, 18].
Introducing canopy cover (Cover10) into the model did not improve goodness of fit (model 3 in Table 1), because Cover10 and TCH were closely correlated (r = 0.82) and including both led to redundancy.
Taking this 'panel effect' into account improved goodness of fit (McFadden's rho-squared) and accounts for one dimension of bias in the parameter estimates, thereby yielding parameter estimates that are closer to the theoretical 'true' values.
The original five subscales required item deletion and/or rescaling to improve goodness of fit to the Rasch model.
Attempts to account for these fluctuations with an oscillating function or as an artifact of sample processing in the residual variability model did not improve goodness of fit.
SSC or other meteorologic variables added to the maximum heat index model moderately improved goodness of fit, with slightly attenuated maximum heat index mortality functions.
Other selection criteria used included improved goodness of fit and residual plots, increased precision in parameter estimation and reduced variance of inter-subject and residual errors.
Models with modest data fit were modified by allowing correlation of error terms with the largest modification indices (>10) to improve goodness of fit statistics.
Although the HL test was developed for LR models and its Ĉ-statistics may not be completely appropriate for models with discrete outputs (such as score systems), it can nevertheless be applied to any predictive model, sometimes opportunely recalibrated to improve goodness of fit.
