The phrase "statistical importance" is correct and usable in written English.
You can use it whenever you want to point out the significance of a given set of data in relation to a certain theory or hypothesis. For example: "The results of the survey showed a clear statistical importance in the correlation between smoking and heart disease."
However, the statistical importance of individual coefficients evaluated by the t statistic is not significant for all cold categories excepting for some cold categories.
The analysis then averaged these 62 separate but similar models, weighting each according to its statistical importance, to produce a single best estimate of the results.
The statistical importance of selected parameters for forming and springback prediction is also discussed.
The principal effect of the temperature did not show statistical importance.
Various surface roughness parameters of statistical importance (of the machined product) have been considered as product quality characteristics whereas; MRR has been treated as productivity measure for the said machining process.
The statistical importance of MDs used in building predictive models was also appraised by intercorrelation analysis.
To evaluate the suitability of these physico-statistical models (importance of the hypotheses) and to improve it, a 2D finite element (FE) model has been developed as a heuristic case.
That reduces the amount of data that has to be processed but the main speed up comes from the second innovation, a statistical technique called importance sampling.
We then focus on the issues surrounding experimental design and the processing of microarray images, followed by a discussion on methods for cleaning and normalizing raw gene expression data and a final discussion of the importance statistical analysis plays in identifying differentially expressed genes.
The selection of risk predictors may depend on several factors, including statistical significance, clinical importance, costs, and predictive ability.
The regression model was then fitted using purposeful selection informed by statistical significance, clinical importance, potential and observed confounding effects, and the calculated gamma values.
