nonparametric
1
9.6
- adjective
- /ˌnɒnˈpærəˌmɛtrɪk/
- Specialized
:
no paramétrico
- To analyze the skewed data, we opted for nonparametric techniques that do not assume a specific distribution.
- nonparametric test
- nonparametric methods
- nonparametric analysis
Examples
-
Alternatively, a semiparametric or nonparametric approach can be taken to modeling the time to response.
Academic text (2013) -
Thus, we used the nonparametric Mann-Whitney test to investigate differences between the two LPA groups.
Academic text (2015) -
The second principle can be met by either parametric or nonparametric specifications.
Academic text (2017) -
Data were interpreted using a combination of visual analysis and the calculation of nonparametric effect sizes.
Academic text (2012) -
Because the original data were not normally distributed, all analyses were based mainly on nonparametric methods.
Academic text (2012) -
Because of the high variability during dynamic movements, nonparametric analyses were employed.
Academic text (1997) -
The perceived perception scores were not normally distributed, so those analyses were done using nonparametric statistics.
Academic text (2004) -
Given the considerations of normality required for the t-test, the nonparametric tests would be considered more valid.
Academic text (2007) -
For this analysis, time-series data were evaluated using the nonparametric Mann-Kendall test for trends.
Academic text (2012) -
Finally, because data were deemed to be ordinal, nonparametric analyses were run to examine differences in responding.
Academic text (2010)
Antonyms
Compounds
- Specialized
A statistic used when you cannot assume a specific data pattern
- Specialized
Methods that analyze data without assuming a specific pattern
How Parametric
- Specialized
1
8.2
- Specialized
1
9.6
Surface Forms
Morphology
nonparametric = parametric (semi-transparent) = non + parametric
The negative prefix 'non-' straightforwardly negates the technical adjective 'parametric', forming 'not parametric'.
Etymology
Nonparametric is made of non- meaning 'not' and parametric, from parameter, a word for a number that describes a group or system and can be thought of as a 'measure'. So a nonparametric method is 'not' based on those parameter numbers and does not assume a particular 'shape' or pattern for the data, which is why it works when we do not know how the data is spread.