parametric
- adjective
- /ˌpærəˈmɛtrɪk/
- Specialized
- In statistical research, a parametric test assumes that the data follows a certain distribution.
- parametric analysis
- parametric method
- parametric modeling
Examples
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The data were not normally distributed, which precluded the use of parametric correlation tests.
Academic text (2012) -
If data did not meet assumptions for parametric testing, a Wilcoxon-Mann-Whitney signed-ranks test was used.
Academic text (2012) -
For example, there is debate within the STEP community over whether parametric modeling should be covered.
Academic text (1995) -
Training sites were refined from previous results, and parametric signatures were automatically generated.
Academic text (2017) -
The results were the same for both analyses, and so the parametric statistics are reported.
Academic text (1990) -
Therefore, the VecTor2 model was selected as the primary tool for the parametric investigation presented in this paper.
Academic text (2017) -
To control for differences in grade-level performance, parametric statistics were used for all analyses (see Note 2).
Academic text (2013) -
The mean and standard deviation model and the multivariate model both employ traditional parametric and nonparametric methods.
Academic text (1992) -
Common approaches include the semiparametric Cox proportional hazards model and the parametric location-scale model.
Academic text (2013) -
Among 147 possible pairwise comparisons, the parametric analysis found 113 differences of statistical significance.
Academic text (1997)
Compounds
- Specialized
A number you change in an equation to make different but similar curves
- Specialized
A number people calculate, like the mean, when they assume data follow a specific distribution
How Parametric
- Specialized
- Specialized
Surface Forms
Morphology
Etymology
The word parametric comes from parameter, made of para- 'beside' and metric 'measure', like the common word metric. So, something parametric is described by one or more measurements or values called parameters, which is why scientists and statisticians use parametric equations and models.